End of training

README.md

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+---
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+datasets:
+- ag_news
+model-index:
+- name: sft_cml4
+  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. -->
+
+# sft_cml4
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the ag_news dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6075
+
+## 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: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.1508        | 0.53  | 200  | 3.5989          |
+| 2.6464        | 1.07  | 400  | 3.6581          |
+| 1.74          | 1.6   | 600  | 3.6075          |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.14.0

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.34.0.dev0"
+}

pytorch_model.bin

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