StanfordAIMI/RewardRadLLaMA-7b

README.md

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+---
+license: llama2
+base_model: StanfordAIMI/RadLLaMA-7b
+tags:
+- generated_from_trainer
+model-index:
+- name: outputs_20240207
+  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. -->
+
+# outputs_20240207
+
+This model is a fine-tuned version of [StanfordAIMI/RadLLaMA-7b](https://huggingface.co/StanfordAIMI/RadLLaMA-7b) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0644
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 8
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 2048
+- total_eval_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.05
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2634        | 0.64  | 25   | 0.2924          |
+| 0.1216        | 1.28  | 50   | 0.0898          |
+| 0.0833        | 1.92  | 75   | 0.0718          |
+| 0.062         | 2.56  | 100  | 0.0644          |
+
+
+### Framework versions
+
+- Transformers 4.38.0.dev0
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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config.json

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+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.38.0.dev0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

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