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lora_evo_ta_all_layers_12 – AI Model by lsmille | AlphaNeural AI
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lsmille
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lora_evo_ta_all_layers_12
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peft
safetensors
generated_from_trainer
togethercomputer/evo-1-8k-base
adapter
apache-2.0
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lora_evo_ta_all_layers_12
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: 2.5374
Model description
Trained on 1K dataset instead of 400
lora_alpha = 32
lora_dropout = 0.05
lora_r = 16
epochs = 3
learning rate = 3e-4
warmup_steps=100
gradient_accumulation_steps = 1
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
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
2.7255
1.0
3523
2.5890
2.5718
2.0
7046
2.5513
2.5237
3.0
10569
2.5374
Framework versions
PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
