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-Gemma_helpful_human_loraR64_20000_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-Gemma_helpful_human_loraR64_20000_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: 0.6198
+- Accuracy: 0.6546
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.703         | 0.06  | 250  | 0.7010          | 0.5414   |
+| 0.6903        | 0.11  | 500  | 0.6820          | 0.5584   |
+| 0.6715        | 0.17  | 750  | 0.6700          | 0.5805   |
+| 0.6498        | 0.22  | 1000 | 0.6604          | 0.5985   |
+| 0.6625        | 0.28  | 1250 | 0.6550          | 0.6070   |
+| 0.6425        | 0.33  | 1500 | 0.6523          | 0.6170   |
+| 0.6514        | 0.39  | 1750 | 0.6480          | 0.6226   |
+| 0.6535        | 0.45  | 2000 | 0.6454          | 0.6256   |
+| 0.6233        | 0.5   | 2250 | 0.6427          | 0.6296   |
+| 0.6434        | 0.56  | 2500 | 0.6403          | 0.6306   |
+| 0.6288        | 0.61  | 2750 | 0.6379          | 0.6421   |
+| 0.632         | 0.67  | 3000 | 0.6360          | 0.6361   |
+| 0.6365        | 0.72  | 3250 | 0.6337          | 0.6436   |
+| 0.6329        | 0.78  | 3500 | 0.6322          | 0.6456   |
+| 0.6278        | 0.84  | 3750 | 0.6312          | 0.6441   |
+| 0.6369        | 0.89  | 4000 | 0.6299          | 0.6476   |
+| 0.6313        | 0.95  | 4250 | 0.6292          | 0.6466   |
+| 0.6315        | 1.0   | 4500 | 0.6285          | 0.6456   |
+| 0.6039        | 1.06  | 4750 | 0.6278          | 0.6441   |
+| 0.6259        | 1.11  | 5000 | 0.6268          | 0.6471   |
+| 0.629         | 1.17  | 5250 | 0.6259          | 0.6481   |
+| 0.6201        | 1.23  | 5500 | 0.6251          | 0.6506   |
+| 0.6118        | 1.28  | 5750 | 0.6251          | 0.6521   |
+| 0.6125        | 1.34  | 6000 | 0.6243          | 0.6481   |
+| 0.6115        | 1.39  | 6250 | 0.6236          | 0.6476   |
+| 0.6056        | 1.45  | 6500 | 0.6234          | 0.6506   |
+| 0.6255        | 1.5   | 6750 | 0.6224          | 0.6501   |
+| 0.6314        | 1.56  | 7000 | 0.6215          | 0.6511   |
+| 0.6346        | 1.62  | 7250 | 0.6211          | 0.6501   |
+| 0.6269        | 1.67  | 7500 | 0.6207          | 0.6516   |
+| 0.6104        | 1.73  | 7750 | 0.6204          | 0.6526   |
+| 0.6138        | 1.78  | 8000 | 0.6202          | 0.6526   |
+| 0.6172        | 1.84  | 8250 | 0.6201          | 0.6541   |
+| 0.6149        | 1.89  | 8500 | 0.6199          | 0.6541   |
+| 0.6022        | 1.95  | 8750 | 0.6198          | 0.6546   |
+
+
+### 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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+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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+size 4984