Malawi-Public-Health-Systems
This model is a fine-tuned version of EleutherAI/pythia-410m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9453
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 400
- total_train_batch_size: 400
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1272 | 71.32 | 120 | 3.2478 |
| 0.1003 | 142.64 | 240 | 3.6082 |
| 0.1017 | 213.97 | 360 | 3.7057 |
| 0.1001 | 285.29 | 480 | 3.7969 |
| 0.0949 | 356.61 | 600 | 3.8484 |
| 0.0984 | 427.93 | 720 | 3.8783 |
| 0.0956 | 499.26 | 840 | 3.9172 |
| 0.0955 | 570.58 | 960 | 3.9453 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
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Model tree for Joshua-Abok/Malawi-Public-Health-Systems
Base model
EleutherAI/pythia-410m