RefalMachine/mistral_darulm_20_05_24_part1-2_32000_unigram_part1_lr1e4_bs256

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mistraldarulm200524part1-232000unigrampart1lr1e4bs256

This model is a fine-tuned version of RefalMachine/mistral_darulm_20_05_24_part1-2_32000_unigram_mean_init_03_07_24 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.0924
• —Accuracy: 0.5528

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: 0.0001
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 32
• —totaltrainbatch_size: 128
• —totalevalbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 100
• —num_epochs: 1.0

Training results

Framework versions

• —Transformers 4.37.2
• —Pytorch 2.3.0a0+6ddf5cf85e.nv24.04
• —Datasets 2.18.0
• —Tokenizers 0.15.2