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lora_evo_ta_all_layers_13

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metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: togethercomputer/evo-1-8k-base
model-index:
  - name: lora_evo_ta_all_layers_13
    results: []

lora_evo_ta_all_layers_13

This model is a fine-tuned version of togethercomputer/evo-1-8k-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.5250

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
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: constant
  • lr_scheduler_warmup_steps: 100
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
2.7264 1.0 1762 2.5781
2.5569 2.0 3524 2.5379
2.4982 3.0 5286 2.5250

Framework versions

  • PEFT 0.11.1
  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1