Model save

README.md

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+---
+license: llama2
+base_model: elichen3051/llama2-7b-sft-chat-no-template
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: llama2-7b-sft-chat-no-template-dpo
+  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. -->
+
+# llama2-7b-sft-chat-no-template-dpo
+
+This model is a fine-tuned version of [elichen3051/llama2-7b-sft-chat-no-template](https://huggingface.co/elichen3051/llama2-7b-sft-chat-no-template) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6026
+- Rewards/chosen: -0.9396
+- Rewards/rejected: -1.3040
+- Rewards/accuracies: 0.6560
+- Rewards/margins: 0.3644
+- Logps/rejected: -372.5772
+- Logps/chosen: -371.2111
+- Logits/rejected: -1.0199
+- Logits/chosen: -1.0320
+
+## 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: 4
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- total_eval_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.5619        | 0.9987 | 477  | 0.6026          | -0.9396        | -1.3040          | 0.6560             | 0.3644          | -372.5772      | -371.2111    | -1.0199         | -1.0320       |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0
+- Datasets 2.19.2
+- Tokenizers 0.19.1

added_tokens.json

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all_results.json

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+{
+    "epoch": 0.998691442030882,
+    "total_flos": 0.0,
+    "train_loss": 0.6240661440405456,
+    "train_runtime": 18073.4146,
+    "train_samples": 61134,
+    "train_samples_per_second": 3.383,
+    "train_steps_per_second": 0.026
+}

config.json

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+{
+  "_name_or_path": "elichen3051/llama2-7b-sft-chat-no-template",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 32000,
+  "eos_token_id": 32001,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 4096,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pad_token_id": 32001,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.41.2",
+  "use_cache": false,
+  "vocab_size": 32002
+}

generation_config.json

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+{
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+  "do_sample": true,
+  "eos_token_id": 32001,
+  "max_length": 4096,
+  "pad_token_id": 32001,
+  "temperature": 0.6,
+  "top_p": 0.9,
+  "transformers_version": "4.41.2"
+}

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