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RichardErkhov/danielgombas_-_llama_1b_step2_batch_v5-gguf

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

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llama1bstep2batchv5 - GGUF

  • —Model creator: https://huggingface.co/danielgombas/
  • —Original model: https://huggingface.co/danielgombas/llama1bstep2batchv5/

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

  • —trl
  • —sft
  • —generatedfromtrainer model-index:
  • —name: llama1bstep2batchv4 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. -->

llama1bstep2batchv4

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

  • —Loss: 0.3246

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: 5e-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
0.74420.1363500.8824
0.59250.27271000.6583
0.5870.40901500.5422
0.48620.54532000.4668
0.42110.68172500.4176
0.40130.81803000.3846
0.41980.95433500.3644
0.24271.09134000.3562
0.27831.22774500.3468
0.221.36405000.3399
0.22631.50035500.3335
0.21771.63676000.3277
0.25791.77306500.3251
0.19851.90937000.3246

Framework versions

  • —Transformers 4.46.0
  • —Pytorch 2.1.0+cu118
  • —Datasets 3.0.2
  • —Tokenizers 0.20.1