update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- lewtun/code_alpaca
+model-index:
+- name: large-model-finetuned-code-alpaca
+  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. -->
+
+# large-model-finetuned-code-alpaca
+
+This model is a fine-tuned version of [bigcode/large-model](https://huggingface.co/bigcode/large-model) on the lewtun/code_alpaca dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1605
+
+## 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: 2e-05
+- train_batch_size: 1
+- eval_batch_size: 1
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 64
+- total_eval_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.03
+- training_steps: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.1672        | 0.03  | 1    | 1.1605          |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 1.13.1+cu117
+- Datasets 2.10.1
+- Tokenizers 0.13.3