CoolFace
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VishaliSekar/english-tamil-colloquial

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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Model Card

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english-tamil-colloquial

This model is a fine-tuned version of unsloth/tinyllama-chat-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 9.8178

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
  • —trainbatchsize: 4
  • —evalbatchsize: 4
  • —seed: 42
  • —gradientaccumulationsteps: 2
  • —totaltrainbatch_size: 8
  • —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —lrschedulerwarmup_steps: 2
  • —num_epochs: 10
  • —mixedprecisiontraining: Native AMP

Training results

Training LossEpochStepValidation Loss
14.2990.2222211.7646
13.69330.4444411.7646
13.89450.6667611.7646
12.15570.8889811.7646
13.85651.11111011.7646
13.78711.33331211.7646
14.13311.55561411.7646
14.40651.77781611.7982
10.25122.01811.8291
10.03582.22222011.8134
9.08982.44442211.8176
10.21272.66672411.8183
8.04832.88892611.8417
6.86753.11112811.8702
7.02853.33333011.8467
6.08543.55563211.8356
5.3193.77783411.7554
5.09924.03611.5143
4.55114.22223811.3712
4.4414.44444011.2696
4.28884.66674211.3623
4.14084.88894411.4373
4.00875.11114611.4750
3.89675.33334811.4602
3.88785.55565011.5468
3.81325.77785211.5235
3.91186.05411.4412
3.61886.22225611.4171
3.85746.44445811.4673
3.71256.66676011.3127
3.67636.88896211.2380
3.76247.11116411.1963
3.51237.33336611.0156
3.20957.55566810.6559
3.61797.77787010.3367
3.62258.07210.1478
3.4288.22227410.0318
3.64178.4444769.9552
3.11898.6667789.9026
3.14178.8889809.8953
3.36349.1111829.8973
3.52049.3333849.8504
3.50299.5556869.8414
2.60669.7778889.8431
3.562510.0909.8178

Framework versions

  • —PEFT 0.14.0
  • —Transformers 4.48.3
  • —Pytorch 2.6.0+cu124
  • —Datasets 3.3.2
  • —Tokenizers 0.21.0