llama-68m-oasst_top1
This model is a fine-tuned version of JackFram/llama-68m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3252
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- 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 |
|---|---|---|---|
| 3.6617 | 0.99 | 50 | 3.5323 |
| 3.4191 | 1.99 | 101 | 3.3614 |
| 3.3489 | 2.96 | 150 | 3.3252 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
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Model tree for NowaBwagel0/llama-68m-oasst_top1
Base model
JackFram/llama-68m