Training in progress, epoch 0

README.md

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+---
+license: mit
+base_model: mNLP-project/gpt2-finetuned-mcqa
+tags:
+- trl
+- dpo
+- generated_from_trainer
+model-index:
+- name: gpt2-dpo-mcqa
+  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. -->
+
+# gpt2-dpo-mcqa
+
+This model is a fine-tuned version of [mNLP-project/gpt2-finetuned-mcqa](https://huggingface.co/mNLP-project/gpt2-finetuned-mcqa) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6310
+- Rewards/chosen: 1.4580
+- Rewards/rejected: 1.1845
+- Rewards/accuracies: 0.6414
+- Rewards/margins: 0.2735
+- Logps/rejected: -659.0944
+- Logps/chosen: -787.4795
+- Logits/rejected: -14.9328
+- Logits/chosen: -11.6364
+
+## 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: 1e-07
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.2
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
+|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
+| 0.6407        | 0.9993 | 668  | 0.6460          | 0.7721         | 0.6216           | 0.6295             | 0.1505          | -664.7236      | -794.3383    | -15.1273        | -11.7899      |
+| 0.6498        | 2.0    | 1337 | 0.6374          | 1.2927         | 1.0475           | 0.6325             | 0.2453          | -660.4651      | -789.1318    | -14.9517        | -11.6401      |
+| 0.6468        | 2.9993 | 2005 | 0.6342          | 1.3734         | 1.1102           | 0.6388             | 0.2632          | -659.8373      | -788.3249    | -14.9535        | -11.6481      |
+| 0.6113        | 4.0    | 2674 | 0.6332          | 1.3317         | 1.0769           | 0.6444             | 0.2548          | -660.1705      | -788.7426    | -14.9930        | -11.6897      |
+| 0.5826        | 4.9993 | 3342 | 0.6310          | 1.4580         | 1.1845           | 0.6414             | 0.2735          | -659.0944      | -787.4795    | -14.9328        | -11.6364      |
+| 0.5613        | 6.0    | 4011 | 0.6317          | 1.4979         | 1.2181           | 0.6407             | 0.2798          | -658.7584      | -787.0804    | -14.9234        | -11.6271      |
+| 0.581         | 6.9993 | 4679 | 0.6316          | 1.5084         | 1.2260           | 0.6437             | 0.2825          | -658.6798      | -786.9750    | -14.9319        | -11.6377      |
+| 0.571         | 8.0    | 5348 | 0.6320          | 1.4992         | 1.2184           | 0.6425             | 0.2808          | -658.7557      | -787.0676    | -14.9334        | -11.6373      |
+| 0.5943        | 8.9993 | 6016 | 0.6317          | 1.5126         | 1.2294           | 0.6437             | 0.2832          | -658.6454      | -786.9331    | -14.9226        | -11.6269      |
+| 0.5635        | 9.9925 | 6680 | 0.6317          | 1.5142         | 1.2308           | 0.6433             | 0.2835          | -658.6317      | -786.9168    | -14.9211        | -11.6256      |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.19.1
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "openai-community/gpt2",
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.2",
+  "use_cache": true,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.40.2"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ee83c2ec1382bfc2e617c64341c99ba00a011543c111fa6f9cb5689a184d0e2f
+size 497774208

special_tokens_map.json

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+{
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "pad_token": "<|endoftext|>",
+  "unk_token": "<|endoftext|>"
+}

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "50256": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": true,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "bos_token": "<|endoftext|>",
+  "clean_up_tokenization_spaces": true,
+  "eos_token": "<|endoftext|>",
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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+size 4984