Model save

README.md

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+---
+license: apache-2.0
+base_model: amazingvince/zephyr-smol_llama-100m-sft-full
+tags:
+- generated_from_trainer
+model-index:
+- name: zephyr-smol_llama-100m-dpo-full
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# zephyr-smol_llama-100m-dpo-full
+
+This model is a fine-tuned version of [amazingvince/zephyr-smol_llama-100m-sft-full](https://huggingface.co/amazingvince/zephyr-smol_llama-100m-sft-full) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5465
+- Rewards/chosen: -0.0518
+- Rewards/rejected: -0.7661
+- Rewards/accuracies: 0.7170
+- Rewards/margins: 0.7143
+- Logps/rejected: -450.2018
+- Logps/chosen: -588.7877
+- Logits/rejected: -4.9602
+- Logits/chosen: -5.2468
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-07
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 2
+- total_train_batch_size: 16
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:-----:|:-----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6549        | 0.26  | 1000  | 0.6037          | -0.1205        | -0.4850          | 0.6550             | 0.3644          | -447.3903      | -589.4750    | -4.7410         | -5.0341       |
+| 0.5349        | 0.52  | 2000  | 0.5779          | -0.0126        | -0.5080          | 0.6770             | 0.4955          | -447.6208      | -588.3951    | -4.8645         | -5.1463       |
+| 0.6029        | 0.77  | 3000  | 0.5657          | 0.0902         | -0.4636          | 0.6900             | 0.5538          | -447.1767      | -587.3674    | -5.0016         | -5.2911       |
+| 0.5273        | 1.03  | 4000  | 0.5596          | 0.0496         | -0.5449          | 0.7040             | 0.5944          | -447.9891      | -587.7738    | -4.9972         | -5.2892       |
+| 0.5           | 1.29  | 5000  | 0.5557          | 0.0585         | -0.6110          | 0.7050             | 0.6695          | -448.6505      | -587.6843    | -5.0108         | -5.3047       |
+| 0.5056        | 1.55  | 6000  | 0.5499          | 0.0054         | -0.6719          | 0.7130             | 0.6773          | -449.2598      | -588.2154    | -4.9988         | -5.2907       |
+| 0.4608        | 1.81  | 7000  | 0.5500          | -0.0376        | -0.7494          | 0.7030             | 0.7118          | -450.0341      | -588.6455    | -5.0549         | -5.3406       |
+| 0.426         | 2.07  | 8000  | 0.5472          | -0.0106        | -0.7021          | 0.7100             | 0.6916          | -449.5617      | -588.3751    | -4.9750         | -5.2626       |
+| 0.3875        | 2.32  | 9000  | 0.5464          | -0.0011        | -0.7171          | 0.7140             | 0.7159          | -449.7113      | -588.2810    | -4.9935         | -5.2796       |
+| 0.397         | 2.58  | 10000 | 0.5462          | -0.0391        | -0.7566          | 0.7190             | 0.7175          | -450.1064      | -588.6602    | -4.9737         | -5.2618       |
+| 0.4486        | 2.84  | 11000 | 0.5459          | -0.0493        | -0.7667          | 0.7110             | 0.7174          | -450.2074      | -588.7629    | -4.9569         | -5.2441       |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0
+- Datasets 2.14.6
+- Tokenizers 0.14.1

all_results.json

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+    "epoch": 3.0,
+    "eval_logits/chosen": -5.246756553649902,
+    "eval_logits/rejected": -4.960155010223389,
+    "eval_logps/chosen": -588.7877197265625,
+    "eval_logps/rejected": -450.20184326171875,
+    "eval_loss": 0.5464638471603394,
+    "eval_rewards/accuracies": 0.7170000076293945,
+    "eval_rewards/chosen": -0.05181777477264404,
+    "eval_rewards/margins": 0.7143149375915527,
+    "eval_rewards/rejected": -0.7661327123641968,
+    "eval_runtime": 103.5267,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 19.319,
+    "eval_steps_per_second": 1.207,
+    "train_loss": 0.49318724932753905,
+    "train_runtime": 14700.0435,
+    "train_samples": 61966,
+    "train_samples_per_second": 12.646,
+    "train_steps_per_second": 0.79
+}

config.json

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+{
+  "_name_or_path": "amazingvince/zephyr-smol_llama-100m-sft-full",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "max_position_embeddings": 1024,
+  "model_type": "llama",
+  "num_attention_heads": 24,
+  "num_hidden_layers": 6,
+  "num_key_value_heads": 8,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.0",
+  "use_cache": false,
+  "vocab_size": 32128
+}

eval_results.json

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+    "epoch": 3.0,
+    "eval_logits/chosen": -5.246756553649902,
+    "eval_logits/rejected": -4.960155010223389,
+    "eval_logps/chosen": -588.7877197265625,
+    "eval_logps/rejected": -450.20184326171875,
+    "eval_loss": 0.5464638471603394,
+    "eval_rewards/accuracies": 0.7170000076293945,
+    "eval_rewards/chosen": -0.05181777477264404,
+    "eval_rewards/margins": 0.7143149375915527,
+    "eval_rewards/rejected": -0.7661327123641968,
+    "eval_runtime": 103.5267,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 19.319,
+    "eval_steps_per_second": 1.207
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.35.0"
+}

model.safetensors

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special_tokens_map.json

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+    "lstrip": false,
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+    "rstrip": false,
+    "single_word": false
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tokenizer_config.json

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+  "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 %}",
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+}

train_results.json

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+    "train_runtime": 14700.0435,
+    "train_samples": 61966,
+    "train_samples_per_second": 12.646,
+    "train_steps_per_second": 0.79
+}

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