update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: JackFram/llama-160m
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: llama-160m-qqp
+  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. -->
+
+# llama-160m-qqp
+
+This model is a fine-tuned version of [JackFram/llama-160m](https://huggingface.co/JackFram/llama-160m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5816
+- Accuracy: 0.6842
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.6019        | 1.0   | 2842  | 0.5971          | 0.6734   |
+| 0.5849        | 2.0   | 5685  | 0.5836          | 0.6843   |
+| 0.5819        | 3.0   | 8527  | 0.5815          | 0.6855   |
+| 0.5768        | 4.0   | 11368 | 0.5816          | 0.6842   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu117
+- Datasets 2.18.0
+- Tokenizers 0.13.3