update model card README.md

README.md

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+---
+license: other
+tags:
+- generated_from_trainer
+model-index:
+- name: opt-iml-max-1.3b-lora-s-t3000-v300-v2
+  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-iml-max-1.3b-lora-s-t3000-v300-v2
+
+This model is a fine-tuned version of [facebook/opt-iml-max-1.3b](https://huggingface.co/facebook/opt-iml-max-1.3b) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0578
+
+## 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: 0.0002
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 10
+- num_epochs: 2
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.3525        | 0.43  | 20   | 2.1918          |
+| 2.1991        | 0.85  | 40   | 2.0734          |
+| 2.1575        | 1.28  | 60   | 2.0636          |
+| 2.1974        | 1.71  | 80   | 2.0578          |
+
+
+### Framework versions
+
+- Transformers 4.28.0.dev0
+- Pytorch 1.13.1+cu116
+- Datasets 2.11.0
+- Tokenizers 0.13.2