update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- sst2
+model-index:
+- name: finetuned_gpt2-large_sst2_negation0.1_pretrainedFalse_epochs10
+  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. -->
+
+# finetuned_gpt2-large_sst2_negation0.1_pretrainedFalse_epochs10
+
+This model is a fine-tuned version of [gpt2-large](https://huggingface.co/gpt2-large) on the sst2 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.0544
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 1.9792        | 1.0   | 1329  | 3.0083          |
+| 1.3396        | 2.0   | 2658  | 3.3183          |
+| 1.0851        | 3.0   | 3987  | 3.5044          |
+| 0.9187        | 4.0   | 5316  | 3.6375          |
+| 0.828         | 5.0   | 6645  | 3.7741          |
+| 0.7698        | 6.0   | 7974  | 3.8374          |
+| 0.73          | 7.0   | 9303  | 3.9100          |
+| 0.7027        | 8.0   | 10632 | 3.9658          |
+| 0.6776        | 9.0   | 11961 | 4.0164          |
+| 0.6614        | 10.0  | 13290 | 4.0544          |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.7.0
+- Datasets 2.8.0
+- Tokenizers 0.13.2