plamo-2-1b-gorilla-chat3
This model was trained from scratch on the Aratako/Magpie-Tanuki-Qwen2.5-72B-Answered dataset. It achieves the following results on the evaluation set:
- Loss: 1.1070
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: 8
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- training_steps: 750
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2715 | 0.0027 | 1 | 1.2753 |
| 1.2207 | 0.2660 | 100 | 1.1846 |
| 1.1895 | 0.5319 | 200 | 1.1564 |
| 1.2285 | 0.7979 | 300 | 1.1334 |
| 0.9658 | 1.0638 | 400 | 1.1341 |
| 1.0254 | 1.3298 | 500 | 1.1209 |
| 0.9521 | 1.5957 | 600 | 1.1129 |
| 1.0186 | 1.8617 | 700 | 1.1070 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.1
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Safetensors
Model size
1B params
Tensor type
BF16
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