BEE-spoke-data/TinyLlama-3T-1.1bee-GGUF

Quantized GGUF model files for TinyLlama-3T-1.1bee from BEE-spoke-data

Original Model Card:

TinyLlama-3T-1.1bee

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A grand successor to the original. This one has the following improvements:

Model description

This model is a fine-tuned version of TinyLlama-1.1b-3T on the BEE-spoke-data/bees-internal dataset.

It achieves the following results on the evaluation set:

  • Loss: 2.1640
  • Accuracy: 0.5406

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 0.0001
  • train_batch_size: 4
  • eval_batch_size: 2
  • seed: 13707
  • gradient_accumulation_steps: 16
  • total_train_batch_size: 64
  • optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.05
  • num_epochs: 2.0

Training results

Training Loss Epoch Step Validation Loss Accuracy
2.4432 0.19 50 2.3850 0.5033
2.3655 0.39 100 2.3124 0.5129
2.374 0.58 150 2.2588 0.5215
2.3558 0.78 200 2.2132 0.5291
2.2677 0.97 250 2.1828 0.5348
2.0701 1.17 300 2.1788 0.5373
2.0766 1.36 350 2.1673 0.5398
2.0669 1.56 400 2.1651 0.5402
2.0314 1.75 450 2.1641 0.5406
2.0281 1.95 500 2.1639 0.5407

Framework versions

  • Transformers 4.36.2
  • Pytorch 2.1.0
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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Inference Examples
Inference API (serverless) has been turned off for this model.

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