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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: EleutherAI/pythia-2.8b
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: jeffrey-walker-teal
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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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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/arianhosseini/huggingface/runs/vakrdi64)
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+ # jeffrey-walker-teal
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+
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+ This model is a fine-tuned version of [EleutherAI/pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 7.8984
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+ - Accuracy: 0.4
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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: 1e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 16
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+ - seed: 24
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 32
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+ - total_eval_batch_size: 32
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: constant_with_warmup
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - training_steps: 2500
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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 | Accuracy |
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+ |:-------------:|:-------:|:----:|:---------------:|:--------:|
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+ | 0.1422 | 8.5561 | 400 | 4.6875 | 0.4 |
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+ | 0.0121 | 17.1123 | 800 | 6.6641 | 0.5 |
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+ | 0.0 | 25.6684 | 1200 | 4.7148 | 0.8 |
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+ | 0.028 | 34.2246 | 1600 | 6.6992 | 0.7 |
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+ | 0.0041 | 42.7807 | 2000 | 7.4570 | 0.4 |
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+ | 0.0021 | 51.3369 | 2400 | 7.8984 | 0.4 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.0
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+ - Pytorch 2.1.1+cu121
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+ - Datasets 2.19.1
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+ - Tokenizers 0.19.1
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