Model save

README.md

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+---
+license: apache-2.0
+base_model: distilgpt2
+tags:
+- generated_from_trainer
+model-index:
+- name: Task3_2
+  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. -->
+
+# Task3_2
+
+This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.0013
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 3.2956        | 1.0   | 871  | 3.0864          |
+| 3.053         | 2.0   | 1742 | 3.0407          |
+| 2.9593        | 3.0   | 2613 | 3.0220          |
+| 2.9048        | 4.0   | 3484 | 3.0057          |
+| 2.8384        | 5.0   | 4355 | 3.0057          |
+| 2.7976        | 6.0   | 5226 | 3.0029          |
+| 2.763         | 7.0   | 6097 | 3.0013          |
+| 2.7373        | 8.0   | 6968 | 3.0029          |
+| 2.7106        | 9.0   | 7839 | 3.0038          |
+| 2.6965        | 10.0  | 8710 | 3.0068          |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.4
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "4.32.1"
+}

pytorch_model.bin

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