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pythia-160m-v0-finetuned-squad
This model is a fine-tuned version of EleutherAI/pythia-160m-v0 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.7825
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.7926 | 1.0 | 5539 | 4.7825 |
Framework versions
- PEFT 0.7.2.dev0
- Transformers 4.36.2
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2
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Model tree for K-kiron/pythia-160m-v0-finetuned-squad
Base model
EleutherAI/pythia-160m-v0