lamini70m
This model is a fine-tuned version of EleutherAI/pythia-70m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6972
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2201 | 1.0 | 43 | 0.7105 |
| 0.6949 | 2.0 | 86 | 0.6984 |
| 0.6667 | 3.0 | 129 | 0.6972 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for akashmaggon/lamini70m
Base model
EleutherAI/pythia-70m