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_3
    results: []

lora_evo_ta_all_layers_3

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: 2.9530

Model description

lora_alpha = 16 <--------

lora_dropout = 0.05

lora_r = 8 <--------

epochs = 3

learning rate = 3e-4

warmup_steps=0.5

gradient_accumulation_steps = 8

train_batch = 1

eval_batch = 1

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_steps: 0.5
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
3.0867	0.9925	33	3.0207
2.9359	1.9850	66	2.9592
2.7604	2.9774	99	2.9530

Framework versions

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