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RichardErkhov/danielgombas_-_llama_3b_step2_batch_v5-gguf

sourceHugging Faceupdated 2y agoView on Hugging Face
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Quantization made by Richard Erkhov.

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llama3bstep2batchv5 - GGUF

  • —Model creator: https://huggingface.co/danielgombas/
  • —Original model: https://huggingface.co/danielgombas/llama3bstep2batchv5/

Original model description: --- library_name: transformers tags:

  • —trl
  • —sft
  • —generatedfromtrainer model-index:
  • —name: llama3bstep2batchv5 results: [] ---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->

llama3bstep2batchv5

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.3275

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: 3e-05
  • —trainbatchsize: 8
  • —evalbatchsize: 40
  • —seed: 42
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 32
  • —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
  • —lrschedulertype: linear
  • —num_epochs: 2

Training results

Training LossEpochStepValidation Loss
0.90710.1363500.8211
0.70630.27271000.6140
0.55480.40901500.5100
0.37760.54532000.4445
0.46110.68172500.4011
0.37010.81803000.3742
0.3250.95433500.3529
0.20931.09134000.3522
0.24591.22774500.3428
0.2011.36405000.3355
0.27411.50035500.3312
0.25961.63676000.3283
0.21381.77306500.3281
0.21811.90937000.3275

Framework versions

  • —Transformers 4.46.1
  • —Pytorch 2.1.0+cu118
  • —Datasets 3.0.2
  • —Tokenizers 0.20.1