adpretko/train-riscv-O2_epoch1and2
09
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train-riscv-O2_epoch1and2
This model is a fine-tuned version of saves/train-riscv-O2_epoch1and2/checkpoint-2800 on the None dataset.
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
- trainbatchsize: 8
- evalbatchsize: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradientaccumulationsteps: 8
- totaltrainbatch_size: 512
- totalevalbatch_size: 64
- optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lrschedulertype: cosine
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 2.0
Training results
Framework versions
- Transformers 4.55.0
- Pytorch 2.8.0+rocm6.3
- Datasets 3.6.0
- Tokenizers 0.21.1
