update model card README.md

README.md

@@ -0,0 +1,65 @@
+---
+license: other
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: dalio-handwritten-io-1.3b
+  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-handwritten-io-1.3b
+
+This model is a fine-tuned version of [facebook/opt-1.3b](https://huggingface.co/facebook/opt-1.3b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6172
+- Accuracy: 0.0555
+
+## 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: 3e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.6917        | 0.33  | 1    | 2.6680          | 0.0530   |
+| 2.8435        | 0.67  | 2    | 2.6680          | 0.0530   |
+| 2.7502        | 1.0   | 3    | 2.6172          | 0.0555   |
+
+
+### Framework versions
+
+- Transformers 4.25.0.dev0
+- Pytorch 1.12.1+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1