RefalMachine/mistral_darulm_20_05_24_part1-2_32000_bpe_test_pipeline_1k_steps

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mistraldarulm200524part1-232000bpetestpipeline1k_steps

This model is a fine-tuned version of RefalMachine/mistral_darulm_20_05_24_part1-2_32000_bpe_mean_init_03_07_24 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.2672
• —Accuracy: 0.5391

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: 16
• —totaltrainbatch_size: 64
• —totalevalbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-05
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 100
• —training_steps: 1000

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.3.0+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2