ruadapt_qwen2.5_3B_u48_full_lr3e4_bs256
This model is a fine-tuned version of RefalMachine/ruadapt_qwen2.5_3B_u48_mean_init on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4520
- Accuracy: 0.5011
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: 0.0003
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 64
- gradient_accumulation_steps: 2
- total_train_batch_size: 256
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 1.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 0.0 | 1 | 6.0677 | 0.1658 |
2.621 | 0.17 | 2000 | 2.4938 | 0.4960 |
2.5772 | 0.34 | 4000 | 2.4647 | 0.4995 |
2.573 | 0.51 | 6000 | 2.4562 | 0.5005 |
2.5707 | 0.68 | 8000 | 2.4528 | 0.5010 |
2.5741 | 0.84 | 10000 | 2.4521 | 0.5010 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
- Datasets 2.18.0
- Tokenizers 0.15.2
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