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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: EleutherAI/pythia-410m
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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: java_and_text_pythia_410m
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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/zhenwu/code-text-pretraining/runs/sl1f0u8x)
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+ # java_and_text_pythia_410m
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+
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+ This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7399
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+ - Accuracy: 0.1944
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+ - Num Input Tokens Seen: 1638400
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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: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 2
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+ - total_train_batch_size: 8
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+ - total_eval_batch_size: 8
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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_ratio: 0.03
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+ - num_epochs: 3.0
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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 | Input Tokens Seen |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|:-----------------:|
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+ | No log | 0 | 0 | 2.6310 | 0.25 | 0 |
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+ | 1.9603 | 0.6173 | 50 | 1.8225 | 0.1944 | 409600 |
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+ | 1.7774 | 1.2346 | 100 | 1.7544 | 0.1806 | 819200 |
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+ | 1.6193 | 1.8519 | 150 | 1.6663 | 0.1806 | 1228800 |
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+ | 1.7311 | 2.4691 | 200 | 1.7399 | 0.1944 | 1638400 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.43.2
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+ - Pytorch 2.4.0
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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