TinyLlama-de-stage3-dr-v0.9
This model is a fine-tuned version of olemeyer/TinyLlama-de-stage2-v0.7 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2273
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 20
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.3409 | 0.25 | 50 | 0.3554 |
0.2951 | 0.5 | 100 | 0.2883 |
0.2858 | 0.75 | 150 | 0.2528 |
0.2273 | 1.0 | 200 | 0.2473 |
0.1565 | 1.25 | 250 | 0.2216 |
0.124 | 1.5 | 300 | 0.2297 |
0.1509 | 1.75 | 350 | 0.2273 |
Framework versions
- Transformers 4.34.1
- Pytorch 1.14.0a0+44dac51
- Datasets 2.14.7
- Tokenizers 0.14.1
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