End of training

README.md

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+---
+license: mit
+library_name: peft
+tags:
+- trl
+- reward-trainer
+- generated_from_trainer
+metrics:
+- accuracy
+base_model: openai-community/gpt2-large
+model-index:
+- name: RM-HH-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenTrue
+  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-GPT2Large_helpful_gpt3_loraR64_40000_gpt2-large_shuffleTrue_extractchosenTrue
+
+This model is a fine-tuned version of [openai-community/gpt2-large](https://huggingface.co/openai-community/gpt2-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4911
+- Accuracy: 0.7362
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.8065        | 0.02  | 250   | 0.7702          | 0.4763   |
+| 0.7485        | 0.04  | 500   | 0.6903          | 0.5578   |
+| 0.6625        | 0.06  | 750   | 0.6116          | 0.6516   |
+| 0.5815        | 0.08  | 1000  | 0.5742          | 0.6817   |
+| 0.5657        | 0.1   | 1250  | 0.5565          | 0.6940   |
+| 0.5608        | 0.13  | 1500  | 0.5479          | 0.7015   |
+| 0.5611        | 0.15  | 1750  | 0.5418          | 0.7083   |
+| 0.5342        | 0.17  | 2000  | 0.5386          | 0.7105   |
+| 0.5842        | 0.19  | 2250  | 0.5319          | 0.7124   |
+| 0.5096        | 0.21  | 2500  | 0.5293          | 0.7171   |
+| 0.5234        | 0.23  | 2750  | 0.5258          | 0.7173   |
+| 0.5321        | 0.25  | 3000  | 0.5243          | 0.7202   |
+| 0.5295        | 0.27  | 3250  | 0.5212          | 0.7202   |
+| 0.5211        | 0.29  | 3500  | 0.5220          | 0.7200   |
+| 0.5119        | 0.31  | 3750  | 0.5215          | 0.7205   |
+| 0.509         | 0.33  | 4000  | 0.5200          | 0.7226   |
+| 0.5393        | 0.36  | 4250  | 0.5155          | 0.7230   |
+| 0.5343        | 0.38  | 4500  | 0.5143          | 0.7267   |
+| 0.4944        | 0.4   | 4750  | 0.5195          | 0.7277   |
+| 0.5198        | 0.42  | 5000  | 0.5188          | 0.7258   |
+| 0.523         | 0.44  | 5250  | 0.5206          | 0.7282   |
+| 0.53          | 0.46  | 5500  | 0.5082          | 0.7264   |
+| 0.5107        | 0.48  | 5750  | 0.5103          | 0.7307   |
+| 0.502         | 0.5   | 6000  | 0.5163          | 0.7284   |
+| 0.5198        | 0.52  | 6250  | 0.5132          | 0.7305   |
+| 0.5879        | 0.54  | 6500  | 0.5067          | 0.7313   |
+| 0.5174        | 0.57  | 6750  | 0.5061          | 0.7311   |
+| 0.5062        | 0.59  | 7000  | 0.5053          | 0.7298   |
+| 0.5265        | 0.61  | 7250  | 0.5064          | 0.7303   |
+| 0.5043        | 0.63  | 7500  | 0.5096          | 0.7309   |
+| 0.5291        | 0.65  | 7750  | 0.5073          | 0.7299   |
+| 0.4966        | 0.67  | 8000  | 0.5141          | 0.7305   |
+| 0.5361        | 0.69  | 8250  | 0.5086          | 0.7288   |
+| 0.534         | 0.71  | 8500  | 0.5051          | 0.7288   |
+| 0.5073        | 0.73  | 8750  | 0.5104          | 0.7286   |
+| 0.5155        | 0.75  | 9000  | 0.5138          | 0.7290   |
+| 0.5041        | 0.77  | 9250  | 0.5149          | 0.7294   |
+| 0.5552        | 0.8   | 9500  | 0.5030          | 0.7288   |
+| 0.5177        | 0.82  | 9750  | 0.4995          | 0.7294   |
+| 0.4882        | 0.84  | 10000 | 0.5007          | 0.7337   |
+| 0.5409        | 0.86  | 10250 | 0.4992          | 0.7320   |
+| 0.5044        | 0.88  | 10500 | 0.4994          | 0.7311   |
+| 0.4897        | 0.9   | 10750 | 0.5013          | 0.7322   |
+| 0.509         | 0.92  | 11000 | 0.4999          | 0.7331   |
+| 0.5256        | 0.94  | 11250 | 0.4950          | 0.7360   |
+| 0.4976        | 0.96  | 11500 | 0.4937          | 0.7356   |
+| 0.5033        | 0.98  | 11750 | 0.4952          | 0.7358   |
+| 0.4917        | 1.0   | 12000 | 0.4939          | 0.7333   |
+| 0.4615        | 1.03  | 12250 | 0.5005          | 0.7328   |
+| 0.4797        | 1.05  | 12500 | 0.4981          | 0.7347   |
+| 0.4872        | 1.07  | 12750 | 0.4997          | 0.7362   |
+| 0.5106        | 1.09  | 13000 | 0.5012          | 0.7343   |
+| 0.482         | 1.11  | 13250 | 0.5021          | 0.7365   |
+| 0.4916        | 1.13  | 13500 | 0.4946          | 0.7367   |
+| 0.4957        | 1.15  | 13750 | 0.4972          | 0.7379   |
+| 0.4822        | 1.17  | 14000 | 0.5072          | 0.7379   |
+| 0.4911        | 1.19  | 14250 | 0.5080          | 0.7343   |
+| 0.5042        | 1.21  | 14500 | 0.5148          | 0.7343   |
+| 0.4966        | 1.23  | 14750 | 0.5055          | 0.7350   |
+| 0.527         | 1.26  | 15000 | 0.4945          | 0.7345   |
+| 0.4544        | 1.28  | 15250 | 0.5070          | 0.7354   |
+| 0.5198        | 1.3   | 15500 | 0.4993          | 0.7335   |
+| 0.5138        | 1.32  | 15750 | 0.4958          | 0.7358   |
+| 0.5324        | 1.34  | 16000 | 0.4917          | 0.7348   |
+| 0.4695        | 1.36  | 16250 | 0.4951          | 0.7347   |
+| 0.5016        | 1.38  | 16500 | 0.4938          | 0.7360   |
+| 0.478         | 1.4   | 16750 | 0.4969          | 0.7345   |
+| 0.4955        | 1.42  | 17000 | 0.4958          | 0.7345   |
+| 0.5072        | 1.44  | 17250 | 0.4908          | 0.7341   |
+| 0.4764        | 1.46  | 17500 | 0.4957          | 0.7345   |
+| 0.5096        | 1.49  | 17750 | 0.4928          | 0.7347   |
+| 0.4944        | 1.51  | 18000 | 0.4923          | 0.7331   |
+| 0.4766        | 1.53  | 18250 | 0.4931          | 0.7333   |
+| 0.515         | 1.55  | 18500 | 0.4897          | 0.7339   |
+| 0.4672        | 1.57  | 18750 | 0.4920          | 0.7348   |
+| 0.5122        | 1.59  | 19000 | 0.4921          | 0.7337   |
+| 0.5395        | 1.61  | 19250 | 0.4899          | 0.7333   |
+| 0.5088        | 1.63  | 19500 | 0.4892          | 0.7326   |
+| 0.4864        | 1.65  | 19750 | 0.4895          | 0.7358   |
+| 0.4605        | 1.67  | 20000 | 0.4968          | 0.7358   |
+| 0.5165        | 1.7   | 20250 | 0.4940          | 0.7354   |
+| 0.4955        | 1.72  | 20500 | 0.4919          | 0.7348   |
+| 0.4923        | 1.74  | 20750 | 0.4906          | 0.7348   |
+| 0.5121        | 1.76  | 21000 | 0.4905          | 0.7337   |
+| 0.5068        | 1.78  | 21250 | 0.4892          | 0.7356   |
+| 0.4767        | 1.8   | 21500 | 0.4900          | 0.7350   |
+| 0.4976        | 1.82  | 21750 | 0.4904          | 0.7354   |
+| 0.4934        | 1.84  | 22000 | 0.4893          | 0.7356   |
+| 0.479         | 1.86  | 22250 | 0.4905          | 0.7352   |
+| 0.4698        | 1.88  | 22500 | 0.4909          | 0.7347   |
+| 0.4894        | 1.9   | 22750 | 0.4907          | 0.7352   |
+| 0.509         | 1.93  | 23000 | 0.4907          | 0.7354   |
+| 0.4805        | 1.95  | 23250 | 0.4914          | 0.7350   |
+| 0.5152        | 1.97  | 23500 | 0.4911          | 0.7358   |
+| 0.4935        | 1.99  | 23750 | 0.4911          | 0.7362   |
+
+
+### 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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+oid sha256:1399e4f05454f237782c34cec5a21129be0efaa3c07e3b6f9ffaec859a9aee9b
+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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