Model save
Browse files- README.md +1 -21
- adapter_config.json +4 -4
- adapter_model.safetensors +1 -1
- all_results.json +6 -19
- train_results.json +6 -6
- trainer_state.json +15 -737
- training_args.bin +1 -1
README.md
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license: apache-2.0
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library_name: peft
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tags:
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- alignment-handbook
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- generated_from_trainer
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- trl
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- dpo
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- generated_from_trainer
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datasets:
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- HuggingFaceH4/ultrafeedback_binarized
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base_model: mistralai/Mistral-7B-v0.1
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model-index:
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- name: zephyr-7b-dpo-qlora
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# zephyr-7b-dpo-qlora
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 1721.1201
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- Rewards/chosen: -0.0627
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- Rewards/rejected: -0.2250
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- Rewards/accuracies: 0.7738
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- Rewards/margins: 0.1623
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- Logps/rejected: -267.2721
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- Logps/chosen: -271.2979
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- Logits/rejected: -2.0354
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- Logits/chosen: -2.0918
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 1797.9404 | 0.21 | 100 | 1887.4103 | 0.0131 | -0.1197 | 0.7520 | 0.1328 | -256.7424 | -263.7133 | -2.1486 | -2.1969 |
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| 1700.9055 | 0.42 | 200 | 1784.6598 | -0.0464 | -0.2062 | 0.7619 | 0.1598 | -265.3905 | -269.6655 | -2.1081 | -2.1618 |
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| 1767.2219 | 0.63 | 300 | 1735.5183 | -0.0467 | -0.2001 | 0.7698 | 0.1534 | -264.7795 | -269.6956 | -2.1057 | -2.1587 |
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| 1717.4336 | 0.84 | 400 | 1721.6765 | -0.0691 | -0.2309 | 0.7718 | 0.1618 | -267.8569 | -271.9333 | -2.0322 | -2.0885 |
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### Framework versions
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license: apache-2.0
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library_name: peft
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tags:
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- trl
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- dpo
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-v0.1
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model-index:
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- name: zephyr-7b-dpo-qlora
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# zephyr-7b-dpo-qlora
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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## Model description
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### Training results
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### Framework versions
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adapter_config.json
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"o_proj",
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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25 |
{
|
26 |
"epoch": 0.82,
|
27 |
+
"step": 2,
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|
28 |
"total_flos": 0.0,
|
29 |
+
"train_loss": 0.6931473016738892,
|
30 |
+
"train_runtime": 124.4347,
|
31 |
+
"train_samples_per_second": 2.451,
|
32 |
+
"train_steps_per_second": 0.016
|
33 |
}
|
34 |
],
|
35 |
"logging_steps": 10,
|
36 |
+
"max_steps": 2,
|
37 |
"num_input_tokens_seen": 0,
|
38 |
"num_train_epochs": 1,
|
39 |
"save_steps": 100,
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4920
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b771063cb1469c5cb63a9d414b651fffe150d786ee263a7c6072b0561a3775f4
|
3 |
size 4920
|