update model card README.md

README.md

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+---
+license: other
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: dalio-6.7b-test
+  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. -->
+
+# dalio-6.7b-test
+
+This model is a fine-tuned version of [facebook/opt-6.7b](https://huggingface.co/facebook/opt-6.7b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6641
+- Accuracy: 0.0662
+
+## 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: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 8
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- num_epochs: 2.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.5958        | 0.31  | 16   | 2.5371          | 0.0659   |
+| 2.3784        | 0.62  | 32   | 2.5039          | 0.0670   |
+| 2.3578        | 0.92  | 48   | 2.6074          | 0.0654   |
+| 1.3819        | 1.23  | 64   | 2.6680          | 0.0658   |
+| 1.1529        | 1.54  | 80   | 2.6738          | 0.0665   |
+| 1.2938        | 1.85  | 96   | 2.6641          | 0.0662   |
+
+
+### Framework versions
+
+- Transformers 4.25.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1