neo-2.7B-fine-same

README.md

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+---
+license: mit
+base_model: EleutherAI/gpt-neo-2.7B
+tags:
+- generated_from_trainer
+model-index:
+- name: neo-2.7B-fine-same
+  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. -->
+
+# neo-2.7B-fine-same
+
+This model is a fine-tuned version of [EleutherAI/gpt-neo-2.7B](https://huggingface.co/EleutherAI/gpt-neo-2.7B) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.4347
+
+## 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: 2e-05
+- 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: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.5513        | 1.0   | 667  | 2.3899          |
+| 2.0652        | 2.0   | 1334 | 2.3543          |
+| 1.4399        | 3.0   | 2001 | 2.4347          |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.1
+- Datasets 2.12.0
+- Tokenizers 0.15.1

generation_config.json

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+  "eos_token_id": 50256,
+  "transformers_version": "4.37.2"
+}

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+  }
+}