Hugging Face's logo

mlabonne
/
zephyr-7b-beta-4.0bpw-exl2

Text Generation
Transformers
Safetensors
English
mistral
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
Model card Files Community
mlabonne commited on
Commit
66c8b2b
•
1 Parent(s): 081ddf8

Upload folder using huggingface_hub

Browse files
Files changed (19) hide show
  1. README.md +235 -0
  2. added_tokens.json +5 -0
  3. all_results.json +21 -0
  4. cal_data.safetensors +3 -0
  5. config.json +26 -0
  6. eval_results.json +16 -0
  7. generation_config.json +6 -0
  8. input_states.safetensors +3 -0
  9. job.json +0 -0
  10. measurement.json +0 -0
  11. model.safetensors.index.json +298 -0
  12. output.safetensors +3 -0
  13. special_tokens_map.json +11 -0
  14. tokenizer.json +0 -0
  15. tokenizer.model +3 -0
  16. tokenizer_config.json +46 -0
  17. train_results.json +8 -0
  18. trainer_state.json +0 -0
  19. training_args.bin +3 -0
README.md ADDED
@@ -0,0 +1,235 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ model-index:
5
+ - name: zephyr-7b-beta
6
+ results: []
7
+ license: mit
8
+ datasets:
9
+ - HuggingFaceH4/ultrachat_200k
10
+ - HuggingFaceH4/ultrafeedback_binarized
11
+ language:
12
+ - en
13
+ base_model: mistralai/Mistral-7B-v0.1
14
+ ---
15
+
16
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
17
+ should probably proofread and complete it, then remove this comment. -->
18
+
19
+ <img src="https://huggingface.co/HuggingFaceH4/zephyr-7b-alpha/resolve/main/thumbnail.png" alt="Zephyr Logo" width="800" style="margin-left:'auto' margin-right:'auto' display:'block'"/>
20
+
21
+
22
+ # Model Card for Zephyr 7B β
23
+
24
+ Zephyr is a series of language models that are trained to act as helpful assistants. Zephyr-7B-β is the second model in the series, and is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) that was trained on on a mix of publicly available, synthetic datasets using [Direct Preference Optimization (DPO)](https://arxiv.org/abs/2305.18290). We found that removing the in-built alignment of these datasets boosted performance on [MT Bench](https://huggingface.co/spaces/lmsys/mt-bench) and made the model more helpful. However, this means that model is likely to generate problematic text when prompted to do so and should only be used for educational and research purposes. You can find more details in the [technical report](https://arxiv.org/abs/2310.16944).
25
+
26
+
27
+ ## Model description
28
+
29
+ - **Model type:** A 7B parameter GPT-like model fine-tuned on a mix of publicly available, synthetic datasets.
30
+ - **Language(s) (NLP):** Primarily English
31
+ - **License:** MIT
32
+ - **Finetuned from model:** [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1)
33
+
34
+ ### Model Sources
35
+
36
+ <!-- Provide the basic links for the model. -->
37
+
38
+ - **Repository:** https://github.com/huggingface/alignment-handbook
39
+ - **Demo:** https://huggingface.co/spaces/HuggingFaceH4/zephyr-chat
40
+ - **Chatbot Arena:** Evaluate Zephyr 7B against 10+ LLMs in the LMSYS arena: http://arena.lmsys.org
41
+
42
+ ## Performance
43
+
44
+ At the time of release, Zephyr-7B-β is the highest ranked 7B chat model on the [MT-Bench](https://huggingface.co/spaces/lmsys/mt-bench) and [AlpacaEval](https://tatsu-lab.github.io/alpaca_eval/) benchmarks:
45
+
46
+ | Model | Size | Alignment | MT-Bench (score) | AlpacaEval (win rate %) |
47
+ |-------------|-----|----|---------------|--------------|
48
+ | StableLM-Tuned-α | 7B| dSFT |2.75| -|
49
+ | MPT-Chat | 7B |dSFT |5.42| -|
50
+ | Xwin-LMv0.1 | 7B| dPPO| 6.19| 87.83|
51
+ | Mistral-Instructv0.1 | 7B| - | 6.84 |-|
52
+ | Zephyr-7b-α |7B| dDPO| 6.88| -|
53
+ | **Zephyr-7b-β** 🪁 | **7B** | **dDPO** | **7.34** | **90.60** |
54
+ | Falcon-Instruct | 40B |dSFT |5.17 |45.71|
55
+ | Guanaco | 65B | SFT |6.41| 71.80|
56
+ | Llama2-Chat | 70B |RLHF |6.86| 92.66|
57
+ | Vicuna v1.3 | 33B |dSFT |7.12 |88.99|
58
+ | WizardLM v1.0 | 70B |dSFT |7.71 |-|
59
+ | Xwin-LM v0.1 | 70B |dPPO |- |95.57|
60
+ | GPT-3.5-turbo | - |RLHF |7.94 |89.37|
61
+ | Claude 2 | - |RLHF |8.06| 91.36|
62
+ | GPT-4 | -| RLHF |8.99| 95.28|
63
+
64
+ In particular, on several categories of MT-Bench, Zephyr-7B-β has strong performance compared to larger open models like Llama2-Chat-70B:
65
+
66
+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/6200d0a443eb0913fa2df7cc/raxvt5ma16d7T23my34WC.png)
67
+
68
+ However, on more complex tasks like coding and mathematics, Zephyr-7B-β lags behind proprietary models and more research is needed to close the gap.
69
+
70
+
71
+ ## Intended uses & limitations
72
+
73
+ The model was initially fine-tuned on a filtered and preprocessed of the [`UltraChat`](https://huggingface.co/datasets/stingning/ultrachat) dataset, which contains a diverse range of synthetic dialogues generated by ChatGPT.
74
+ We then further aligned the model with [🤗 TRL's](https://github.com/huggingface/trl) `DPOTrainer` on the [openbmb/UltraFeedback](https://huggingface.co/datasets/openbmb/UltraFeedback) dataset, which contains 64k prompts and model completions that are ranked by GPT-4. As a result, the model can be used for chat and you can check out our [demo](https://huggingface.co/spaces/HuggingFaceH4/zephyr-chat) to test its capabilities.
75
+
76
+ You can find the datasets used for training Zephyr-7B-β [here](https://huggingface.co/collections/HuggingFaceH4/zephyr-7b-6538c6d6d5ddd1cbb1744a66)
77
+
78
+ Here's how you can run the model using the `pipeline()` function from 🤗 Transformers:
79
+
80
+ ```python
81
+ # Install transformers from source - only needed for versions <= v4.34
82
+ # pip install git+https://github.com/huggingface/transformers.git
83
+ # pip install accelerate
84
+
85
+ import torch
86
+ from transformers import pipeline
87
+
88
+ pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta", torch_dtype=torch.bfloat16, device_map="auto")
89
+
90
+ # We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
91
+ messages = [
92
+ {
93
+ "role": "system",
94
+ "content": "You are a friendly chatbot who always responds in the style of a pirate",
95
+ },
96
+ {"role": "user", "content": "How many helicopters can a human eat in one sitting?"},
97
+ ]
98
+ prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
99
+ outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
100
+ print(outputs[0]["generated_text"])
101
+ # <|system|>
102
+ # You are a friendly chatbot who always responds in the style of a pirate.</s>
103
+ # <|user|>
104
+ # How many helicopters can a human eat in one sitting?</s>
105
+ # <|assistant|>
106
+ # Ah, me hearty matey! But yer question be a puzzler! A human cannot eat a helicopter in one sitting, as helicopters are not edible. They be made of metal, plastic, and other materials, not food!
107
+ ```
108
+
109
+ ## Bias, Risks, and Limitations
110
+
111
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
112
+
113
+ Zephyr-7B-β has not been aligned to human preferences with techniques like RLHF or deployed with in-the-loop filtering of responses like ChatGPT, so the model can produce problematic outputs (especially when prompted to do so).
114
+ It is also unknown what the size and composition of the corpus was used to train the base model (`mistralai/Mistral-7B-v0.1`), however it is likely to have included a mix of Web data and technical sources like books and code. See the [Falcon 180B model card](https://huggingface.co/tiiuae/falcon-180B#training-data) for an example of this.
115
+
116
+
117
+ ## Training and evaluation data
118
+
119
+ During DPO training, this model achieves the following results on the evaluation set:
120
+
121
+ - Loss: 0.7496
122
+ - Rewards/chosen: -4.5221
123
+ - Rewards/rejected: -8.3184
124
+ - Rewards/accuracies: 0.7812
125
+ - Rewards/margins: 3.7963
126
+ - Logps/rejected: -340.1541
127
+ - Logps/chosen: -299.4561
128
+ - Logits/rejected: -2.3081
129
+ - Logits/chosen: -2.3531
130
+
131
+
132
+ ### Training hyperparameters
133
+
134
+ The following hyperparameters were used during training:
135
+ - learning_rate: 5e-07
136
+ - train_batch_size: 2
137
+ - eval_batch_size: 4
138
+ - seed: 42
139
+ - distributed_type: multi-GPU
140
+ - num_devices: 16
141
+ - total_train_batch_size: 32
142
+ - total_eval_batch_size: 64
143
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
144
+ - lr_scheduler_type: linear
145
+ - lr_scheduler_warmup_ratio: 0.1
146
+ - num_epochs: 3.0
147
+
148
+ ### Training results
149
+
150
+ The table below shows the full set of DPO training metrics:
151
+
152
+
153
+ | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
154
+ |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
155
+ | 0.6284 | 0.05 | 100 | 0.6098 | 0.0425 | -0.1872 | 0.7344 | 0.2297 | -258.8416 | -253.8099 | -2.7976 | -2.8234 |
156
+ | 0.4908 | 0.1 | 200 | 0.5426 | -0.0279 | -0.6842 | 0.75 | 0.6563 | -263.8124 | -254.5145 | -2.7719 | -2.7960 |
157
+ | 0.5264 | 0.15 | 300 | 0.5324 | 0.0414 | -0.9793 | 0.7656 | 1.0207 | -266.7627 | -253.8209 | -2.7892 | -2.8122 |
158
+ | 0.5536 | 0.21 | 400 | 0.4957 | -0.0185 | -1.5276 | 0.7969 | 1.5091 | -272.2460 | -254.4203 | -2.8542 | -2.8764 |
159
+ | 0.5362 | 0.26 | 500 | 0.5031 | -0.2630 | -1.5917 | 0.7812 | 1.3287 | -272.8869 | -256.8653 | -2.8702 | -2.8958 |
160
+ | 0.5966 | 0.31 | 600 | 0.5963 | -0.2993 | -1.6491 | 0.7812 | 1.3499 | -273.4614 | -257.2279 | -2.8778 | -2.8986 |
161
+ | 0.5014 | 0.36 | 700 | 0.5382 | -0.2859 | -1.4750 | 0.75 | 1.1891 | -271.7204 | -257.0942 | -2.7659 | -2.7869 |
162
+ | 0.5334 | 0.41 | 800 | 0.5677 | -0.4289 | -1.8968 | 0.7969 | 1.4679 | -275.9378 | -258.5242 | -2.7053 | -2.7265 |
163
+ | 0.5251 | 0.46 | 900 | 0.5772 | -0.2116 | -1.3107 | 0.7344 | 1.0991 | -270.0768 | -256.3507 | -2.8463 | -2.8662 |
164
+ | 0.5205 | 0.52 | 1000 | 0.5262 | -0.3792 | -1.8585 | 0.7188 | 1.4793 | -275.5552 | -258.0276 | -2.7893 | -2.7979 |
165
+ | 0.5094 | 0.57 | 1100 | 0.5433 | -0.6279 | -1.9368 | 0.7969 | 1.3089 | -276.3377 | -260.5136 | -2.7453 | -2.7536 |
166
+ | 0.5837 | 0.62 | 1200 | 0.5349 | -0.3780 | -1.9584 | 0.7656 | 1.5804 | -276.5542 | -258.0154 | -2.7643 | -2.7756 |
167
+ | 0.5214 | 0.67 | 1300 | 0.5732 | -1.0055 | -2.2306 | 0.7656 | 1.2251 | -279.2761 | -264.2903 | -2.6986 | -2.7113 |
168
+ | 0.6914 | 0.72 | 1400 | 0.5137 | -0.6912 | -2.1775 | 0.7969 | 1.4863 | -278.7448 | -261.1467 | -2.7166 | -2.7275 |
169
+ | 0.4655 | 0.77 | 1500 | 0.5090 | -0.7987 | -2.2930 | 0.7031 | 1.4943 | -279.8999 | -262.2220 | -2.6651 | -2.6838 |
170
+ | 0.5731 | 0.83 | 1600 | 0.5312 | -0.8253 | -2.3520 | 0.7812 | 1.5268 | -280.4902 | -262.4876 | -2.6543 | -2.6728 |
171
+ | 0.5233 | 0.88 | 1700 | 0.5206 | -0.4573 | -2.0951 | 0.7812 | 1.6377 | -277.9205 | -258.8084 | -2.6870 | -2.7097 |
172
+ | 0.5593 | 0.93 | 1800 | 0.5231 | -0.5508 | -2.2000 | 0.7969 | 1.6492 | -278.9703 | -259.7433 | -2.6221 | -2.6519 |
173
+ | 0.4967 | 0.98 | 1900 | 0.5290 | -0.5340 | -1.9570 | 0.8281 | 1.4230 | -276.5395 | -259.5749 | -2.6564 | -2.6878 |
174
+ | 0.0921 | 1.03 | 2000 | 0.5368 | -1.1376 | -3.1615 | 0.7812 | 2.0239 | -288.5854 | -265.6111 | -2.6040 | -2.6345 |
175
+ | 0.0733 | 1.08 | 2100 | 0.5453 | -1.1045 | -3.4451 | 0.7656 | 2.3406 | -291.4208 | -265.2799 | -2.6289 | -2.6595 |
176
+ | 0.0972 | 1.14 | 2200 | 0.5571 | -1.6915 | -3.9823 | 0.8125 | 2.2908 | -296.7934 | -271.1505 | -2.6471 | -2.6709 |
177
+ | 0.1058 | 1.19 | 2300 | 0.5789 | -1.0621 | -3.8941 | 0.7969 | 2.8319 | -295.9106 | -264.8563 | -2.5527 | -2.5798 |
178
+ | 0.2423 | 1.24 | 2400 | 0.5455 | -1.1963 | -3.5590 | 0.7812 | 2.3627 | -292.5599 | -266.1981 | -2.5414 | -2.5784 |
179
+ | 0.1177 | 1.29 | 2500 | 0.5889 | -1.8141 | -4.3942 | 0.7969 | 2.5801 | -300.9120 | -272.3761 | -2.4802 | -2.5189 |
180
+ | 0.1213 | 1.34 | 2600 | 0.5683 | -1.4608 | -3.8420 | 0.8125 | 2.3812 | -295.3901 | -268.8436 | -2.4774 | -2.5207 |
181
+ | 0.0889 | 1.39 | 2700 | 0.5890 | -1.6007 | -3.7337 | 0.7812 | 2.1330 | -294.3068 | -270.2423 | -2.4123 | -2.4522 |
182
+ | 0.0995 | 1.45 | 2800 | 0.6073 | -1.5519 | -3.8362 | 0.8281 | 2.2843 | -295.3315 | -269.7538 | -2.4685 | -2.5050 |
183
+ | 0.1145 | 1.5 | 2900 | 0.5790 | -1.7939 | -4.2876 | 0.8438 | 2.4937 | -299.8461 | -272.1744 | -2.4272 | -2.4674 |
184
+ | 0.0644 | 1.55 | 3000 | 0.5735 | -1.7285 | -4.2051 | 0.8125 | 2.4766 | -299.0209 | -271.5201 | -2.4193 | -2.4574 |
185
+ | 0.0798 | 1.6 | 3100 | 0.5537 | -1.7226 | -4.2850 | 0.8438 | 2.5624 | -299.8200 | -271.4610 | -2.5367 | -2.5696 |
186
+ | 0.1013 | 1.65 | 3200 | 0.5575 | -1.5715 | -3.9813 | 0.875 | 2.4098 | -296.7825 | -269.9498 | -2.4926 | -2.5267 |
187
+ | 0.1254 | 1.7 | 3300 | 0.5905 | -1.6412 | -4.4703 | 0.8594 | 2.8291 | -301.6730 | -270.6473 | -2.5017 | -2.5340 |
188
+ | 0.085 | 1.76 | 3400 | 0.6133 | -1.9159 | -4.6760 | 0.8438 | 2.7601 | -303.7296 | -273.3941 | -2.4614 | -2.4960 |
189
+ | 0.065 | 1.81 | 3500 | 0.6074 | -1.8237 | -4.3525 | 0.8594 | 2.5288 | -300.4951 | -272.4724 | -2.4597 | -2.5004 |
190
+ | 0.0755 | 1.86 | 3600 | 0.5836 | -1.9252 | -4.4005 | 0.8125 | 2.4753 | -300.9748 | -273.4872 | -2.4327 | -2.4716 |
191
+ | 0.0746 | 1.91 | 3700 | 0.5789 | -1.9280 | -4.4906 | 0.8125 | 2.5626 | -301.8762 | -273.5149 | -2.4686 | -2.5115 |
192
+ | 0.1348 | 1.96 | 3800 | 0.6015 | -1.8658 | -4.2428 | 0.8281 | 2.3769 | -299.3976 | -272.8936 | -2.4943 | -2.5393 |
193
+ | 0.0217 | 2.01 | 3900 | 0.6122 | -2.3335 | -4.9229 | 0.8281 | 2.5894 | -306.1988 | -277.5699 | -2.4841 | -2.5272 |
194
+ | 0.0219 | 2.07 | 4000 | 0.6522 | -2.9890 | -6.0164 | 0.8281 | 3.0274 | -317.1334 | -284.1248 | -2.4105 | -2.4545 |
195
+ | 0.0119 | 2.12 | 4100 | 0.6922 | -3.4777 | -6.6749 | 0.7969 | 3.1972 | -323.7187 | -289.0121 | -2.4272 | -2.4699 |
196
+ | 0.0153 | 2.17 | 4200 | 0.6993 | -3.2406 | -6.6775 | 0.7969 | 3.4369 | -323.7453 | -286.6413 | -2.4047 | -2.4465 |
197
+ | 0.011 | 2.22 | 4300 | 0.7178 | -3.7991 | -7.4397 | 0.7656 | 3.6406 | -331.3667 | -292.2260 | -2.3843 | -2.4290 |
198
+ | 0.0072 | 2.27 | 4400 | 0.6840 | -3.3269 | -6.8021 | 0.8125 | 3.4752 | -324.9908 | -287.5042 | -2.4095 | -2.4536 |
199
+ | 0.0197 | 2.32 | 4500 | 0.7013 | -3.6890 | -7.3014 | 0.8125 | 3.6124 | -329.9841 | -291.1250 | -2.4118 | -2.4543 |
200
+ | 0.0182 | 2.37 | 4600 | 0.7476 | -3.8994 | -7.5366 | 0.8281 | 3.6372 | -332.3356 | -293.2291 | -2.4163 | -2.4565 |
201
+ | 0.0125 | 2.43 | 4700 | 0.7199 | -4.0560 | -7.5765 | 0.8438 | 3.5204 | -332.7345 | -294.7952 | -2.3699 | -2.4100 |
202
+ | 0.0082 | 2.48 | 4800 | 0.7048 | -3.6613 | -7.1356 | 0.875 | 3.4743 | -328.3255 | -290.8477 | -2.3925 | -2.4303 |
203
+ | 0.0118 | 2.53 | 4900 | 0.6976 | -3.7908 | -7.3152 | 0.8125 | 3.5244 | -330.1224 | -292.1431 | -2.3633 | -2.4047 |
204
+ | 0.0118 | 2.58 | 5000 | 0.7198 | -3.9049 | -7.5557 | 0.8281 | 3.6508 | -332.5271 | -293.2844 | -2.3764 | -2.4194 |
205
+ | 0.006 | 2.63 | 5100 | 0.7506 | -4.2118 | -7.9149 | 0.8125 | 3.7032 | -336.1194 | -296.3530 | -2.3407 | -2.3860 |
206
+ | 0.0143 | 2.68 | 5200 | 0.7408 | -4.2433 | -7.9802 | 0.8125 | 3.7369 | -336.7721 | -296.6682 | -2.3509 | -2.3946 |
207
+ | 0.0057 | 2.74 | 5300 | 0.7552 | -4.3392 | -8.0831 | 0.7969 | 3.7439 | -337.8013 | -297.6275 | -2.3388 | -2.3842 |
208
+ | 0.0138 | 2.79 | 5400 | 0.7404 | -4.2395 | -7.9762 | 0.8125 | 3.7367 | -336.7322 | -296.6304 | -2.3286 | -2.3737 |
209
+ | 0.0079 | 2.84 | 5500 | 0.7525 | -4.4466 | -8.2196 | 0.7812 | 3.7731 | -339.1662 | -298.7007 | -2.3200 | -2.3641 |
210
+ | 0.0077 | 2.89 | 5600 | 0.7520 | -4.5586 | -8.3485 | 0.7969 | 3.7899 | -340.4545 | -299.8206 | -2.3078 | -2.3517 |
211
+ | 0.0094 | 2.94 | 5700 | 0.7527 | -4.5542 | -8.3509 | 0.7812 | 3.7967 | -340.4790 | -299.7773 | -2.3062 | -2.3510 |
212
+ | 0.0054 | 2.99 | 5800 | 0.7520 | -4.5169 | -8.3079 | 0.7812 | 3.7911 | -340.0493 | -299.4038 | -2.3081 | -2.3530 |
213
+
214
+
215
+ ### Framework versions
216
+
217
+ - Transformers 4.35.0.dev0
218
+ - Pytorch 2.0.1+cu118
219
+ - Datasets 2.12.0
220
+ - Tokenizers 0.14.0
221
+
222
+ ## Citation
223
+
224
+ If you find Zephyr-7B-β is useful in your work, please cite it with:
225
+
226
+ ```
227
+ @misc{tunstall2023zephyr,
228
+ title={Zephyr: Direct Distillation of LM Alignment},
229
+ author={Lewis Tunstall and Edward Beeching and Nathan Lambert and Nazneen Rajani and Kashif Rasul and Younes Belkada and Shengyi Huang and Leandro von Werra and Clémentine Fourrier and Nathan Habib and Nathan Sarrazin and Omar Sanseviero and Alexander M. Rush and Thomas Wolf},
230
+ year={2023},
231
+ eprint={2310.16944},
232
+ archivePrefix={arXiv},
233
+ primaryClass={cs.LG}
234
+ }
235
+ ```
added_tokens.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "</s>": 2,
3
+ "<s>": 1,
4
+ "<unk>": 0
5
+ }
all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_logits/chosen": -2.353081703186035,
4
+ "eval_logits/rejected": -2.308103084564209,
5
+ "eval_logps/chosen": -299.4560546875,
6
+ "eval_logps/rejected": -340.154052734375,
7
+ "eval_loss": 0.7496059536933899,
8
+ "eval_rewards/accuracies": 0.78125,
9
+ "eval_rewards/chosen": -4.522095203399658,
10
+ "eval_rewards/margins": 3.7963125705718994,
11
+ "eval_rewards/rejected": -8.318408012390137,
12
+ "eval_runtime": 48.0152,
13
+ "eval_samples": 1000,
14
+ "eval_samples_per_second": 20.827,
15
+ "eval_steps_per_second": 0.333,
16
+ "train_loss": 0.2172969928600547,
17
+ "train_runtime": 23865.9828,
18
+ "train_samples": 61966,
19
+ "train_samples_per_second": 7.789,
20
+ "train_steps_per_second": 0.243
21
+ }
cal_data.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:08be1103ff8fcef33b570f3c0f5ae4cc7f9dc5c3f264105baa55fc9b132ed1be
3
+ size 1638488
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
3
+ "architectures": [
4
+ "MistralForCausalLM"
5
+ ],
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 4096,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 14336,
12
+ "max_position_embeddings": 32768,
13
+ "model_type": "mistral",
14
+ "num_attention_heads": 32,
15
+ "num_hidden_layers": 32,
16
+ "num_key_value_heads": 8,
17
+ "pad_token_id": 2,
18
+ "rms_norm_eps": 1e-05,
19
+ "rope_theta": 10000.0,
20
+ "sliding_window": 4096,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.35.0.dev0",
24
+ "use_cache": true,
25
+ "vocab_size": 32000
26
+ }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "eval_logits/chosen": -2.353081703186035,
4
+ "eval_logits/rejected": -2.308103084564209,
5
+ "eval_logps/chosen": -299.4560546875,
6
+ "eval_logps/rejected": -340.154052734375,
7
+ "eval_loss": 0.7496059536933899,
8
+ "eval_rewards/accuracies": 0.78125,
9
+ "eval_rewards/chosen": -4.522095203399658,
10
+ "eval_rewards/margins": 3.7963125705718994,
11
+ "eval_rewards/rejected": -8.318408012390137,
12
+ "eval_runtime": 48.0152,
13
+ "eval_samples": 1000,
14
+ "eval_samples_per_second": 20.827,
15
+ "eval_steps_per_second": 0.333
16
+ }
generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 1,
4
+ "eos_token_id": 2,
5
+ "transformers_version": "4.35.0.dev0"
6
+ }
input_states.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:812e15620fe06f0af607595658098ca8344ac8d3c9351363374527312da5135d
3
+ size 1677721696
job.json ADDED
The diff for this file is too large to render. See raw diff
 
measurement.json ADDED
The diff for this file is too large to render. See raw diff
 
model.safetensors.index.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 14483464192
4
+ },
5
+ "weight_map": {
6
+ "lm_head.weight": "model-00008-of-00008.safetensors",
7
+ "model.embed_tokens.weight": "model-00001-of-00008.safetensors",
8
+ "model.layers.0.input_layernorm.weight": "model-00001-of-00008.safetensors",
9
+ "model.layers.0.mlp.down_proj.weight": "model-00001-of-00008.safetensors",
10
+ "model.layers.0.mlp.gate_proj.weight": "model-00001-of-00008.safetensors",
11
+ "model.layers.0.mlp.up_proj.weight": "model-00001-of-00008.safetensors",
12
+ "model.layers.0.post_attention_layernorm.weight": "model-00001-of-00008.safetensors",
13
+ "model.layers.0.self_attn.k_proj.weight": "model-00001-of-00008.safetensors",
14
+ "model.layers.0.self_attn.o_proj.weight": "model-00001-of-00008.safetensors",
15
+ "model.layers.0.self_attn.q_proj.weight": "model-00001-of-00008.safetensors",
16
+ "model.layers.0.self_attn.v_proj.weight": "model-00001-of-00008.safetensors",
17
+ "model.layers.1.input_layernorm.weight": "model-00001-of-00008.safetensors",
18
+ "model.layers.1.mlp.down_proj.weight": "model-00001-of-00008.safetensors",
19
+ "model.layers.1.mlp.gate_proj.weight": "model-00001-of-00008.safetensors",
20
+ "model.layers.1.mlp.up_proj.weight": "model-00001-of-00008.safetensors",
21
+ "model.layers.1.post_attention_layernorm.weight": "model-00001-of-00008.safetensors",
22
+ "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00008.safetensors",
23
+ "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00008.safetensors",
24
+ "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00008.safetensors",
25
+ "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00008.safetensors",
26
+ "model.layers.10.input_layernorm.weight": "model-00003-of-00008.safetensors",
27
+ "model.layers.10.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
28
+ "model.layers.10.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
29
+ "model.layers.10.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
30
+ "model.layers.10.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
31
+ "model.layers.10.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
32
+ "model.layers.10.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
33
+ "model.layers.10.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
34
+ "model.layers.10.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
35
+ "model.layers.11.input_layernorm.weight": "model-00003-of-00008.safetensors",
36
+ "model.layers.11.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
37
+ "model.layers.11.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
38
+ "model.layers.11.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
39
+ "model.layers.11.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
40
+ "model.layers.11.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
41
+ "model.layers.11.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
42
+ "model.layers.11.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
43
+ "model.layers.11.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
44
+ "model.layers.12.input_layernorm.weight": "model-00004-of-00008.safetensors",
45
+ "model.layers.12.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
46
+ "model.layers.12.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
47
+ "model.layers.12.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
48
+ "model.layers.12.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
49
+ "model.layers.12.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
50
+ "model.layers.12.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
51
+ "model.layers.12.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
52
+ "model.layers.12.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
53
+ "model.layers.13.input_layernorm.weight": "model-00004-of-00008.safetensors",
54
+ "model.layers.13.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
55
+ "model.layers.13.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
56
+ "model.layers.13.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
57
+ "model.layers.13.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
58
+ "model.layers.13.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
59
+ "model.layers.13.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
60
+ "model.layers.13.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
61
+ "model.layers.13.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
62
+ "model.layers.14.input_layernorm.weight": "model-00004-of-00008.safetensors",
63
+ "model.layers.14.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
64
+ "model.layers.14.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
65
+ "model.layers.14.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
66
+ "model.layers.14.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
67
+ "model.layers.14.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
68
+ "model.layers.14.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
69
+ "model.layers.14.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
70
+ "model.layers.14.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
71
+ "model.layers.15.input_layernorm.weight": "model-00004-of-00008.safetensors",
72
+ "model.layers.15.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
73
+ "model.layers.15.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
74
+ "model.layers.15.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
75
+ "model.layers.15.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
76
+ "model.layers.15.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
77
+ "model.layers.15.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
78
+ "model.layers.15.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
79
+ "model.layers.15.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
80
+ "model.layers.16.input_layernorm.weight": "model-00004-of-00008.safetensors",
81
+ "model.layers.16.mlp.down_proj.weight": "model-00004-of-00008.safetensors",
82
+ "model.layers.16.mlp.gate_proj.weight": "model-00004-of-00008.safetensors",
83
+ "model.layers.16.mlp.up_proj.weight": "model-00004-of-00008.safetensors",
84
+ "model.layers.16.post_attention_layernorm.weight": "model-00004-of-00008.safetensors",
85
+ "model.layers.16.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
86
+ "model.layers.16.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
87
+ "model.layers.16.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
88
+ "model.layers.16.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
89
+ "model.layers.17.input_layernorm.weight": "model-00005-of-00008.safetensors",
90
+ "model.layers.17.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
91
+ "model.layers.17.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
92
+ "model.layers.17.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
93
+ "model.layers.17.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
94
+ "model.layers.17.self_attn.k_proj.weight": "model-00004-of-00008.safetensors",
95
+ "model.layers.17.self_attn.o_proj.weight": "model-00004-of-00008.safetensors",
96
+ "model.layers.17.self_attn.q_proj.weight": "model-00004-of-00008.safetensors",
97
+ "model.layers.17.self_attn.v_proj.weight": "model-00004-of-00008.safetensors",
98
+ "model.layers.18.input_layernorm.weight": "model-00005-of-00008.safetensors",
99
+ "model.layers.18.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
100
+ "model.layers.18.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
101
+ "model.layers.18.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
102
+ "model.layers.18.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
103
+ "model.layers.18.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
104
+ "model.layers.18.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
105
+ "model.layers.18.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
106
+ "model.layers.18.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
107
+ "model.layers.19.input_layernorm.weight": "model-00005-of-00008.safetensors",
108
+ "model.layers.19.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
109
+ "model.layers.19.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
110
+ "model.layers.19.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
111
+ "model.layers.19.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
112
+ "model.layers.19.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
113
+ "model.layers.19.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
114
+ "model.layers.19.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
115
+ "model.layers.19.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
116
+ "model.layers.2.input_layernorm.weight": "model-00001-of-00008.safetensors",
117
+ "model.layers.2.mlp.down_proj.weight": "model-00001-of-00008.safetensors",
118
+ "model.layers.2.mlp.gate_proj.weight": "model-00001-of-00008.safetensors",
119
+ "model.layers.2.mlp.up_proj.weight": "model-00001-of-00008.safetensors",
120
+ "model.layers.2.post_attention_layernorm.weight": "model-00001-of-00008.safetensors",
121
+ "model.layers.2.self_attn.k_proj.weight": "model-00001-of-00008.safetensors",
122
+ "model.layers.2.self_attn.o_proj.weight": "model-00001-of-00008.safetensors",
123
+ "model.layers.2.self_attn.q_proj.weight": "model-00001-of-00008.safetensors",
124
+ "model.layers.2.self_attn.v_proj.weight": "model-00001-of-00008.safetensors",
125
+ "model.layers.20.input_layernorm.weight": "model-00005-of-00008.safetensors",
126
+ "model.layers.20.mlp.down_proj.weight": "model-00005-of-00008.safetensors",
127
+ "model.layers.20.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
128
+ "model.layers.20.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
129
+ "model.layers.20.post_attention_layernorm.weight": "model-00005-of-00008.safetensors",
130
+ "model.layers.20.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
131
+ "model.layers.20.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
132
+ "model.layers.20.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
133
+ "model.layers.20.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
134
+ "model.layers.21.input_layernorm.weight": "model-00006-of-00008.safetensors",
135
+ "model.layers.21.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
136
+ "model.layers.21.mlp.gate_proj.weight": "model-00005-of-00008.safetensors",
137
+ "model.layers.21.mlp.up_proj.weight": "model-00005-of-00008.safetensors",
138
+ "model.layers.21.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
139
+ "model.layers.21.self_attn.k_proj.weight": "model-00005-of-00008.safetensors",
140
+ "model.layers.21.self_attn.o_proj.weight": "model-00005-of-00008.safetensors",
141
+ "model.layers.21.self_attn.q_proj.weight": "model-00005-of-00008.safetensors",
142
+ "model.layers.21.self_attn.v_proj.weight": "model-00005-of-00008.safetensors",
143
+ "model.layers.22.input_layernorm.weight": "model-00006-of-00008.safetensors",
144
+ "model.layers.22.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
145
+ "model.layers.22.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
146
+ "model.layers.22.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
147
+ "model.layers.22.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
148
+ "model.layers.22.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
149
+ "model.layers.22.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
150
+ "model.layers.22.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
151
+ "model.layers.22.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
152
+ "model.layers.23.input_layernorm.weight": "model-00006-of-00008.safetensors",
153
+ "model.layers.23.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
154
+ "model.layers.23.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
155
+ "model.layers.23.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
156
+ "model.layers.23.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
157
+ "model.layers.23.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
158
+ "model.layers.23.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
159
+ "model.layers.23.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
160
+ "model.layers.23.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
161
+ "model.layers.24.input_layernorm.weight": "model-00006-of-00008.safetensors",
162
+ "model.layers.24.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
163
+ "model.layers.24.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
164
+ "model.layers.24.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
165
+ "model.layers.24.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
166
+ "model.layers.24.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
167
+ "model.layers.24.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
168
+ "model.layers.24.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
169
+ "model.layers.24.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
170
+ "model.layers.25.input_layernorm.weight": "model-00006-of-00008.safetensors",
171
+ "model.layers.25.mlp.down_proj.weight": "model-00006-of-00008.safetensors",
172
+ "model.layers.25.mlp.gate_proj.weight": "model-00006-of-00008.safetensors",
173
+ "model.layers.25.mlp.up_proj.weight": "model-00006-of-00008.safetensors",
174
+ "model.layers.25.post_attention_layernorm.weight": "model-00006-of-00008.safetensors",
175
+ "model.layers.25.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
176
+ "model.layers.25.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
177
+ "model.layers.25.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
178
+ "model.layers.25.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
179
+ "model.layers.26.input_layernorm.weight": "model-00007-of-00008.safetensors",
180
+ "model.layers.26.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
181
+ "model.layers.26.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
182
+ "model.layers.26.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
183
+ "model.layers.26.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
184
+ "model.layers.26.self_attn.k_proj.weight": "model-00006-of-00008.safetensors",
185
+ "model.layers.26.self_attn.o_proj.weight": "model-00006-of-00008.safetensors",
186
+ "model.layers.26.self_attn.q_proj.weight": "model-00006-of-00008.safetensors",
187
+ "model.layers.26.self_attn.v_proj.weight": "model-00006-of-00008.safetensors",
188
+ "model.layers.27.input_layernorm.weight": "model-00007-of-00008.safetensors",
189
+ "model.layers.27.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
190
+ "model.layers.27.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
191
+ "model.layers.27.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
192
+ "model.layers.27.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
193
+ "model.layers.27.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
194
+ "model.layers.27.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
195
+ "model.layers.27.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
196
+ "model.layers.27.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
197
+ "model.layers.28.input_layernorm.weight": "model-00007-of-00008.safetensors",
198
+ "model.layers.28.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
199
+ "model.layers.28.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
200
+ "model.layers.28.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
201
+ "model.layers.28.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
202
+ "model.layers.28.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
203
+ "model.layers.28.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
204
+ "model.layers.28.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
205
+ "model.layers.28.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
206
+ "model.layers.29.input_layernorm.weight": "model-00007-of-00008.safetensors",
207
+ "model.layers.29.mlp.down_proj.weight": "model-00007-of-00008.safetensors",
208
+ "model.layers.29.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
209
+ "model.layers.29.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
210
+ "model.layers.29.post_attention_layernorm.weight": "model-00007-of-00008.safetensors",
211
+ "model.layers.29.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
212
+ "model.layers.29.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
213
+ "model.layers.29.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
214
+ "model.layers.29.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
215
+ "model.layers.3.input_layernorm.weight": "model-00002-of-00008.safetensors",
216
+ "model.layers.3.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
217
+ "model.layers.3.mlp.gate_proj.weight": "model-00001-of-00008.safetensors",
218
+ "model.layers.3.mlp.up_proj.weight": "model-00001-of-00008.safetensors",
219
+ "model.layers.3.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
220
+ "model.layers.3.self_attn.k_proj.weight": "model-00001-of-00008.safetensors",
221
+ "model.layers.3.self_attn.o_proj.weight": "model-00001-of-00008.safetensors",
222
+ "model.layers.3.self_attn.q_proj.weight": "model-00001-of-00008.safetensors",
223
+ "model.layers.3.self_attn.v_proj.weight": "model-00001-of-00008.safetensors",
224
+ "model.layers.30.input_layernorm.weight": "model-00008-of-00008.safetensors",
225
+ "model.layers.30.mlp.down_proj.weight": "model-00008-of-00008.safetensors",
226
+ "model.layers.30.mlp.gate_proj.weight": "model-00007-of-00008.safetensors",
227
+ "model.layers.30.mlp.up_proj.weight": "model-00007-of-00008.safetensors",
228
+ "model.layers.30.post_attention_layernorm.weight": "model-00008-of-00008.safetensors",
229
+ "model.layers.30.self_attn.k_proj.weight": "model-00007-of-00008.safetensors",
230
+ "model.layers.30.self_attn.o_proj.weight": "model-00007-of-00008.safetensors",
231
+ "model.layers.30.self_attn.q_proj.weight": "model-00007-of-00008.safetensors",
232
+ "model.layers.30.self_attn.v_proj.weight": "model-00007-of-00008.safetensors",
233
+ "model.layers.31.input_layernorm.weight": "model-00008-of-00008.safetensors",
234
+ "model.layers.31.mlp.down_proj.weight": "model-00008-of-00008.safetensors",
235
+ "model.layers.31.mlp.gate_proj.weight": "model-00008-of-00008.safetensors",
236
+ "model.layers.31.mlp.up_proj.weight": "model-00008-of-00008.safetensors",
237
+ "model.layers.31.post_attention_layernorm.weight": "model-00008-of-00008.safetensors",
238
+ "model.layers.31.self_attn.k_proj.weight": "model-00008-of-00008.safetensors",
239
+ "model.layers.31.self_attn.o_proj.weight": "model-00008-of-00008.safetensors",
240
+ "model.layers.31.self_attn.q_proj.weight": "model-00008-of-00008.safetensors",
241
+ "model.layers.31.self_attn.v_proj.weight": "model-00008-of-00008.safetensors",
242
+ "model.layers.4.input_layernorm.weight": "model-00002-of-00008.safetensors",
243
+ "model.layers.4.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
244
+ "model.layers.4.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
245
+ "model.layers.4.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
246
+ "model.layers.4.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
247
+ "model.layers.4.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
248
+ "model.layers.4.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
249
+ "model.layers.4.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
250
+ "model.layers.4.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
251
+ "model.layers.5.input_layernorm.weight": "model-00002-of-00008.safetensors",
252
+ "model.layers.5.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
253
+ "model.layers.5.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
254
+ "model.layers.5.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
255
+ "model.layers.5.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
256
+ "model.layers.5.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
257
+ "model.layers.5.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
258
+ "model.layers.5.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
259
+ "model.layers.5.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
260
+ "model.layers.6.input_layernorm.weight": "model-00002-of-00008.safetensors",
261
+ "model.layers.6.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
262
+ "model.layers.6.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
263
+ "model.layers.6.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
264
+ "model.layers.6.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
265
+ "model.layers.6.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
266
+ "model.layers.6.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
267
+ "model.layers.6.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
268
+ "model.layers.6.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
269
+ "model.layers.7.input_layernorm.weight": "model-00002-of-00008.safetensors",
270
+ "model.layers.7.mlp.down_proj.weight": "model-00002-of-00008.safetensors",
271
+ "model.layers.7.mlp.gate_proj.weight": "model-00002-of-00008.safetensors",
272
+ "model.layers.7.mlp.up_proj.weight": "model-00002-of-00008.safetensors",
273
+ "model.layers.7.post_attention_layernorm.weight": "model-00002-of-00008.safetensors",
274
+ "model.layers.7.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
275
+ "model.layers.7.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
276
+ "model.layers.7.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
277
+ "model.layers.7.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
278
+ "model.layers.8.input_layernorm.weight": "model-00003-of-00008.safetensors",
279
+ "model.layers.8.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
280
+ "model.layers.8.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
281
+ "model.layers.8.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
282
+ "model.layers.8.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
283
+ "model.layers.8.self_attn.k_proj.weight": "model-00002-of-00008.safetensors",
284
+ "model.layers.8.self_attn.o_proj.weight": "model-00002-of-00008.safetensors",
285
+ "model.layers.8.self_attn.q_proj.weight": "model-00002-of-00008.safetensors",
286
+ "model.layers.8.self_attn.v_proj.weight": "model-00002-of-00008.safetensors",
287
+ "model.layers.9.input_layernorm.weight": "model-00003-of-00008.safetensors",
288
+ "model.layers.9.mlp.down_proj.weight": "model-00003-of-00008.safetensors",
289
+ "model.layers.9.mlp.gate_proj.weight": "model-00003-of-00008.safetensors",
290
+ "model.layers.9.mlp.up_proj.weight": "model-00003-of-00008.safetensors",
291
+ "model.layers.9.post_attention_layernorm.weight": "model-00003-of-00008.safetensors",
292
+ "model.layers.9.self_attn.k_proj.weight": "model-00003-of-00008.safetensors",
293
+ "model.layers.9.self_attn.o_proj.weight": "model-00003-of-00008.safetensors",
294
+ "model.layers.9.self_attn.q_proj.weight": "model-00003-of-00008.safetensors",
295
+ "model.layers.9.self_attn.v_proj.weight": "model-00003-of-00008.safetensors",
296
+ "model.norm.weight": "model-00008-of-00008.safetensors"
297
+ }
298
+ }
output.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7119974b15772fc3a53241df832ac5814dbbeba50b06104860c90706d3d469af
3
+ size 3862855400
special_tokens_map.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<unk>",
4
+ "<s>",
5
+ "</s>"
6
+ ],
7
+ "bos_token": "<s>",
8
+ "eos_token": "</s>",
9
+ "pad_token": "</s>",
10
+ "unk_token": "<unk>"
11
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
3
+ size 493443
tokenizer_config.json ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "added_tokens_decoder": {
3
+ "0": {
4
+ "content": "<unk>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false,
9
+ "special": true
10
+ },
11
+ "1": {
12
+ "content": "<s>",
13
+ "lstrip": false,
14
+ "normalized": false,
15
+ "rstrip": false,
16
+ "single_word": false,
17
+ "special": true
18
+ },
19
+ "2": {
20
+ "content": "</s>",
21
+ "lstrip": false,
22
+ "normalized": false,
23
+ "rstrip": false,
24
+ "single_word": false,
25
+ "special": true
26
+ }
27
+ },
28
+ "additional_special_tokens": [
29
+ "<unk>",
30
+ "<s>",
31
+ "</s>"
32
+ ],
33
+ "bos_token": "<s>",
34
+ "chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
35
+ "clean_up_tokenization_spaces": false,
36
+ "eos_token": "</s>",
37
+ "legacy": true,
38
+ "model_max_length": 1000000000000000019884624838656,
39
+ "pad_token": "</s>",
40
+ "sp_model_kwargs": {},
41
+ "spaces_between_special_tokens": false,
42
+ "tokenizer_class": "LlamaTokenizer",
43
+ "truncation_side": "left",
44
+ "unk_token": "<unk>",
45
+ "use_default_system_prompt": true
46
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 0.2172969928600547,
4
+ "train_runtime": 23865.9828,
5
+ "train_samples": 61966,
6
+ "train_samples_per_second": 7.789,
7
+ "train_steps_per_second": 0.243
8
+ }
trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8484784a09e7deb9198e9aafc8f9654b6f8fed732a7f9e60d0b3c75aaedb94e4
3
+ size 5435