Model save

README.md

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+---
+license: openrail
+base_model: bertin-project/bertin-gpt-j-6B-alpaca
+tags:
+- generated_from_trainer
+model-index:
+- name: bertin-gpt-clara-med
+  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. -->
+
+# bertin-gpt-clara-med
+
+This model is a fine-tuned version of [bertin-project/bertin-gpt-j-6B-alpaca](https://huggingface.co/bertin-project/bertin-gpt-j-6B-alpaca) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6110
+
+## 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: 0.0003
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 32
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 100
+- training_steps: 300
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.5564        | 0.38  | 50   | 0.7804          |
+| 0.3879        | 0.75  | 100  | 0.6551          |
+| 0.3609        | 1.13  | 150  | 0.6327          |
+| 0.3615        | 1.5   | 200  | 0.6179          |
+| 0.3371        | 1.88  | 250  | 0.6135          |
+| 0.3242        | 2.25  | 300  | 0.6110          |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.0+cu117
+- Datasets 2.14.4
+- Tokenizers 0.13.3