Model save

README.md

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+---
+license: mit
+base_model: HuggingFaceH4/mistral-7b-sft-beta
+tags:
+- generated_from_trainer
+model-index:
+- name: zephyr-7b-dpo-full-beta-0.2
+  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-7b-dpo-full-beta-0.2
+
+This model is a fine-tuned version of [HuggingFaceH4/mistral-7b-sft-beta](https://huggingface.co/HuggingFaceH4/mistral-7b-sft-beta) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7903
+- Rewards/chosen: -3.2220
+- Rewards/rejected: -7.3367
+- Rewards/accuracies: 0.7659
+- Rewards/margins: 4.1147
+- Logps/rejected: -282.6258
+- Logps/chosen: -314.5996
+- Logits/rejected: -2.6943
+- Logits/chosen: -2.6970
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 32
+- total_eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5631        | 0.26  | 500  | 0.5260          | 0.0288         | -1.2082          | 0.75               | 1.2371          | -251.9833      | -298.3453    | -2.9467         | -2.9577       |
+| 0.5432        | 0.52  | 1000 | 0.5888          | -0.0335        | -1.8482          | 0.7540             | 1.8147          | -255.1831      | -298.6568    | -2.8465         | -2.8476       |
+| 0.5368        | 0.77  | 1500 | 0.5860          | -0.4836        | -2.3300          | 0.7619             | 1.8464          | -257.5920      | -300.9073    | -2.8455         | -2.8445       |
+| 0.0615        | 1.03  | 2000 | 0.6024          | -0.5971        | -2.6919          | 0.7778             | 2.0948          | -259.4018      | -301.4749    | -2.8687         | -2.8639       |
+| 0.0817        | 1.29  | 2500 | 0.6655          | -1.3554        | -3.8426          | 0.7738             | 2.4872          | -265.1552      | -305.2667    | -2.8257         | -2.8254       |
+| 0.0617        | 1.55  | 3000 | 0.6421          | -1.2552        | -3.7613          | 0.75               | 2.5062          | -264.7488      | -304.7651    | -2.7744         | -2.7683       |
+| 0.0765        | 1.81  | 3500 | 0.6582          | -1.1492        | -4.0394          | 0.7659             | 2.8902          | -266.1391      | -304.2354    | -2.7403         | -2.7389       |
+| 0.0178        | 2.07  | 4000 | 0.6797          | -1.8485        | -5.2549          | 0.7619             | 3.4064          | -272.2166      | -307.7317    | -2.7310         | -2.7273       |
+| 0.0165        | 2.32  | 4500 | 0.7359          | -2.2096        | -6.0498          | 0.7817             | 3.8401          | -276.1910      | -309.5376    | -2.7006         | -2.7001       |
+| 0.0094        | 2.58  | 5000 | 0.7864          | -2.8828        | -6.8542          | 0.7738             | 3.9713          | -280.2130      | -312.9036    | -2.7185         | -2.7196       |
+| 0.0094        | 2.84  | 5500 | 0.7953          | -3.1897        | -7.3009          | 0.7579             | 4.1112          | -282.4464      | -314.4378    | -2.6987         | -2.7012       |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

all_results.json

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+{
+    "epoch": 3.0,
+    "eval_logits/chosen": -2.697049617767334,
+    "eval_logits/rejected": -2.6942925453186035,
+    "eval_logps/chosen": -314.599609375,
+    "eval_logps/rejected": -282.62579345703125,
+    "eval_loss": 0.7903289198875427,
+    "eval_rewards/accuracies": 0.7658730149269104,
+    "eval_rewards/chosen": -3.2220375537872314,
+    "eval_rewards/margins": 4.1147027015686035,
+    "eval_rewards/rejected": -7.336739540100098,
+    "eval_runtime": 217.5722,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 9.192,
+    "eval_steps_per_second": 0.29,
+    "train_loss": 0.22832600153418584,
+    "train_runtime": 42683.4293,
+    "train_samples": 61966,
+    "train_samples_per_second": 4.355,
+    "train_steps_per_second": 0.136
+}

config.json

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+{
+  "_name_or_path": "HuggingFaceH4/mistral-7b-sft-beta",
+  "architectures": [
+    "MistralForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 14336,
+  "max_position_embeddings": 32768,
+  "model_type": "mistral",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_theta": 10000.0,
+  "sliding_window": 4096,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.35.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

eval_results.json

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+{
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+    "eval_logits/chosen": -2.697049617767334,
+    "eval_logits/rejected": -2.6942925453186035,
+    "eval_logps/chosen": -314.599609375,
+    "eval_logps/rejected": -282.62579345703125,
+    "eval_loss": 0.7903289198875427,
+    "eval_rewards/accuracies": 0.7658730149269104,
+    "eval_rewards/chosen": -3.2220375537872314,
+    "eval_rewards/margins": 4.1147027015686035,
+    "eval_rewards/rejected": -7.336739540100098,
+    "eval_runtime": 217.5722,
+    "eval_samples": 2000,
+    "eval_samples_per_second": 9.192,
+    "eval_steps_per_second": 0.29
+}

generation_config.json

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

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