End of training

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- reward-trainer
+- generated_from_trainer
+base_model: openai-community/gpt2-large
+metrics:
+- accuracy
+model-index:
+- name: RM-HH-Human_helpful_human_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse
+  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. -->
+
+# RM-HH-Human_helpful_human_loraR64_40000_gpt2-large_shuffleTrue_extractchosenFalse
+
+This model is a fine-tuned version of [openai-community/gpt2-large](https://huggingface.co/openai-community/gpt2-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6036
+- Accuracy: 0.6751
+
+## 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: 1.41e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 4
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.7205        | 0.03  | 250   | 0.7030          | 0.5251   |
+| 0.6845        | 0.06  | 500   | 0.6752          | 0.5739   |
+| 0.6715        | 0.08  | 750   | 0.6636          | 0.5934   |
+| 0.6632        | 0.11  | 1000  | 0.6542          | 0.6102   |
+| 0.6432        | 0.14  | 1250  | 0.6492          | 0.6125   |
+| 0.635         | 0.17  | 1500  | 0.6462          | 0.6200   |
+| 0.6708        | 0.19  | 1750  | 0.6413          | 0.6240   |
+| 0.6565        | 0.22  | 2000  | 0.6394          | 0.6285   |
+| 0.6194        | 0.25  | 2250  | 0.6355          | 0.6315   |
+| 0.6405        | 0.28  | 2500  | 0.6326          | 0.6380   |
+| 0.6431        | 0.31  | 2750  | 0.6285          | 0.6428   |
+| 0.6526        | 0.33  | 3000  | 0.6254          | 0.6415   |
+| 0.639         | 0.36  | 3250  | 0.6246          | 0.6433   |
+| 0.621         | 0.39  | 3500  | 0.6217          | 0.6501   |
+| 0.6305        | 0.42  | 3750  | 0.6200          | 0.6488   |
+| 0.6146        | 0.45  | 4000  | 0.6194          | 0.6501   |
+| 0.6382        | 0.47  | 4250  | 0.6166          | 0.6558   |
+| 0.6211        | 0.5   | 4500  | 0.6143          | 0.6606   |
+| 0.6141        | 0.53  | 4750  | 0.6135          | 0.6601   |
+| 0.6272        | 0.56  | 5000  | 0.6119          | 0.6591   |
+| 0.6242        | 0.58  | 5250  | 0.6103          | 0.6608   |
+| 0.6202        | 0.61  | 5500  | 0.6087          | 0.6658   |
+| 0.6205        | 0.64  | 5750  | 0.6080          | 0.6666   |
+| 0.6268        | 0.67  | 6000  | 0.6069          | 0.6663   |
+| 0.6017        | 0.7   | 6250  | 0.6064          | 0.6638   |
+| 0.5942        | 0.72  | 6500  | 0.6060          | 0.6656   |
+| 0.6186        | 0.75  | 6750  | 0.6053          | 0.6668   |
+| 0.6316        | 0.78  | 7000  | 0.6040          | 0.6688   |
+| 0.6031        | 0.81  | 7250  | 0.6039          | 0.6738   |
+| 0.6143        | 0.84  | 7500  | 0.6021          | 0.6703   |
+| 0.6217        | 0.86  | 7750  | 0.6020          | 0.6759   |
+| 0.6099        | 0.89  | 8000  | 0.6017          | 0.6754   |
+| 0.5951        | 0.92  | 8250  | 0.6010          | 0.6748   |
+| 0.603         | 0.95  | 8500  | 0.6005          | 0.6721   |
+| 0.6098        | 0.97  | 8750  | 0.6005          | 0.6769   |
+| 0.6222        | 1.0   | 9000  | 0.5991          | 0.6741   |
+| 0.6005        | 1.03  | 9250  | 0.5991          | 0.6743   |
+| 0.5972        | 1.06  | 9500  | 0.5998          | 0.6706   |
+| 0.582         | 1.09  | 9750  | 0.6043          | 0.6691   |
+| 0.6004        | 1.11  | 10000 | 0.6187          | 0.6711   |
+| 0.5985        | 1.14  | 10250 | 0.6195          | 0.6663   |
+| 0.6206        | 1.17  | 10500 | 0.6122          | 0.6693   |
+| 0.6216        | 1.2   | 10750 | 0.6069          | 0.6741   |
+| 0.6091        | 1.22  | 11000 | 0.6236          | 0.6691   |
+| 0.5863        | 1.25  | 11250 | 0.6209          | 0.6713   |
+| 0.641         | 1.28  | 11500 | 0.6184          | 0.6698   |
+| 0.6144        | 1.31  | 11750 | 0.6051          | 0.6713   |
+| 0.6527        | 1.34  | 12000 | 0.6067          | 0.6703   |
+| 0.6059        | 1.36  | 12250 | 0.6048          | 0.6711   |
+| 0.6138        | 1.39  | 12500 | 0.6015          | 0.6741   |
+| 0.6376        | 1.42  | 12750 | 0.6002          | 0.6726   |
+| 0.6273        | 1.45  | 13000 | 0.5989          | 0.6721   |
+| 0.6028        | 1.48  | 13250 | 0.6011          | 0.6713   |
+| 0.6116        | 1.5   | 13500 | 0.5999          | 0.6723   |
+| 0.6201        | 1.53  | 13750 | 0.5990          | 0.6733   |
+| 0.606         | 1.56  | 14000 | 0.6024          | 0.6733   |
+| 0.5985        | 1.59  | 14250 | 0.6079          | 0.6716   |
+| 0.664         | 1.61  | 14500 | 0.6019          | 0.6748   |
+| 0.5859        | 1.64  | 14750 | 0.6039          | 0.6743   |
+| 0.6231        | 1.67  | 15000 | 0.6002          | 0.6733   |
+| 0.5984        | 1.7   | 15250 | 0.6020          | 0.6741   |
+| 0.602         | 1.73  | 15500 | 0.6037          | 0.6741   |
+| 0.5817        | 1.75  | 15750 | 0.6031          | 0.6748   |
+| 0.6128        | 1.78  | 16000 | 0.6040          | 0.6743   |
+| 0.6415        | 1.81  | 16250 | 0.6047          | 0.6748   |
+| 0.6084        | 1.84  | 16500 | 0.6041          | 0.6743   |
+| 0.6103        | 1.87  | 16750 | 0.6040          | 0.6746   |
+| 0.6289        | 1.89  | 17000 | 0.6033          | 0.6746   |
+| 0.5948        | 1.92  | 17250 | 0.6030          | 0.6759   |
+| 0.5655        | 1.95  | 17500 | 0.6033          | 0.6748   |
+| 0.6125        | 1.98  | 17750 | 0.6036          | 0.6751   |
+
+
+### Framework versions
+
+- PEFT 0.9.0
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

adapter_config.json

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+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "openai-community/gpt2-large",
+  "bias": "none",
+  "fan_in_fan_out": true,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 64,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "c_attn"
+  ],
+  "task_type": "CAUSAL_LM",
+  "use_dora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4cd7908049d5d77487cb3804777717da15cad0386f269da6505ab2f88860472b
+size 47195336

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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+oid sha256:b7414bcd54732166aab7786f25fc380aa933c7f69de326a5b9e723ebfe67b991
+size 4984