End of training

README.md

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+---
+license: mit
+base_model: gpt2-large
+tags:
+- generated_from_trainer
+datasets:
+- scitldr
+model-index:
+- name: uplimit-project-3-gpt2-large
+  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. -->
+
+# uplimit-project-3-gpt2-large
+
+This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the scitldr dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.5296
+
+## 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: 0.001
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.8474        | 0.4   | 800   | 2.7175          |
+| 1.8784        | 0.8   | 1600  | 2.6618          |
+| 1.6307        | 1.2   | 2400  | 2.7737          |
+| 2.0121        | 1.61  | 3200  | 2.6673          |
+| 2.033         | 2.01  | 4000  | 2.7799          |
+| 1.8416        | 2.41  | 4800  | 2.8229          |
+| 1.7133        | 2.81  | 5600  | 2.7827          |
+| 1.681         | 3.21  | 6400  | 2.9556          |
+| 1.5638        | 3.61  | 7200  | 2.9581          |
+| 1.3838        | 4.02  | 8000  | 2.9749          |
+| 1.2711        | 4.42  | 8800  | 2.9982          |
+| 1.2488        | 4.82  | 9600  | 2.9858          |
+| 0.9192        | 5.22  | 10400 | 3.1093          |
+| 0.914         | 5.62  | 11200 | 3.1497          |
+| 0.6613        | 6.02  | 12000 | 3.1170          |
+| 0.6696        | 6.43  | 12800 | 3.1780          |
+| 0.8281        | 6.83  | 13600 | 3.1630          |
+| 0.3944        | 7.23  | 14400 | 3.3688          |
+| 0.4512        | 7.63  | 15200 | 3.3493          |
+| 0.313         | 8.03  | 16000 | 3.4182          |
+| 0.3008        | 8.43  | 16800 | 3.4404          |
+| 0.3054        | 8.84  | 17600 | 3.4577          |
+| 0.2112        | 9.24  | 18400 | 3.5108          |
+| 0.2435        | 9.64  | 19200 | 3.5296          |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

adapter_config.json

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+{
+  "auto_mapping": null,
+  "base_model_name_or_path": "gpt2-large",
+  "bias": "none",
+  "fan_in_fan_out": true,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 16,
+  "lora_dropout": 0.05,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 8,
+  "revision": null,
+  "target_modules": [
+    "c_attn",
+    "c_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapter_model.bin

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+size 16297258

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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+version https://git-lfs.github.com/spec/v1
+oid sha256:fdfbf779a38c5aca31e5976a23aafe662d867f5fc7333081ac13912f101f4edb
+size 4536