update model card README.md

README.md

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+---
+license: other
+base_model: facebook/opt-125m
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: opt-125m-rte
+  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. -->
+
+# opt-125m-rte
+
+This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7647
+- Accuracy: 0.6354
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.97  | 19   | 0.6622          | 0.6462   |
+| No log        | 2.0   | 39   | 0.6257          | 0.6390   |
+| No log        | 2.97  | 58   | 0.7573          | 0.6354   |
+| No log        | 3.9   | 76   | 0.7647          | 0.6354   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.18.0
+- Tokenizers 0.13.3