patricia-walters-darkmagenta
This model is a fine-tuned version of EleutherAI/pythia-2.8b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5059
- Accuracy: 0.7
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: 4
- eval_batch_size: 16
- seed: 24
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2500
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.4856 | 1.2490 | 400 | 0.3020 | 1.0 |
0.0737 | 2.4980 | 800 | 0.4773 | 0.7 |
0.0886 | 3.7471 | 1200 | 1.2119 | 0.9 |
0.1489 | 4.9961 | 1600 | 0.5459 | 0.8 |
0.0285 | 6.2451 | 2000 | 2.4004 | 0.7 |
0.0338 | 7.4941 | 2400 | 0.5059 | 0.7 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for arianhosseini/patricia-walters-darkmagenta
Base model
EleutherAI/pythia-2.8b