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src_prober_codellama-7b-last1unfreeze

Text2Text Generation
Transformers
Safetensors
rad-prober
Generated from Trainer
Inference Endpoints
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  1. README.md +81 -0
  2. generation_config.json +4 -0
  3. model.safetensors +1 -1
  4. special_tokens_map.json +37 -0
  5. tokenizer.json +0 -0
  6. tokenizer_config.json +60 -0
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: src_prober_codellama-7b-last1unfreeze
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # src_prober_codellama-7b-last1unfreeze
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+
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+ This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.6729
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 4
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 128
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+ - total_eval_batch_size: 128
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 1000
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+ - num_epochs: 5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.7634 | 0.24 | 500 | 0.7745 |
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+ | 0.7376 | 0.48 | 1000 | 0.7399 |
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+ | 0.7006 | 0.72 | 1500 | 0.7138 |
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+ | 0.6721 | 0.97 | 2000 | 0.7015 |
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+ | 0.6753 | 1.21 | 2500 | 0.6941 |
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+ | 0.6716 | 1.45 | 3000 | 0.6894 |
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+ | 0.6595 | 1.69 | 3500 | 0.6865 |
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+ | 0.6743 | 1.93 | 4000 | 0.6848 |
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+ | 0.6647 | 2.17 | 4500 | 0.6819 |
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+ | 0.6721 | 2.42 | 5000 | 0.6797 |
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+ | 0.6642 | 2.66 | 5500 | 0.6780 |
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+ | 0.6653 | 2.9 | 6000 | 0.6764 |
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+ | 0.643 | 3.14 | 6500 | 0.6756 |
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+ | 0.6532 | 3.38 | 7000 | 0.6749 |
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+ | 0.6299 | 3.62 | 7500 | 0.6745 |
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+ | 0.6442 | 3.87 | 8000 | 0.6737 |
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+ | 0.6347 | 4.11 | 8500 | 0.6733 |
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+ | 0.6364 | 4.35 | 9000 | 0.6730 |
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+ | 0.6456 | 4.59 | 9500 | 0.6728 |
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+ | 0.6338 | 4.83 | 10000 | 0.6729 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.39.3
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+ - Pytorch 2.2.0
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+ - Datasets 2.17.0
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+ - Tokenizers 0.15.2
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "transformers_version": "4.39.3"
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