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ShinDC/
llama_finetune_mind2web_1B

Name: llama_finetune_mind2web_1B
Availability: InStock

peft

safetensors

generated_from_trainer

meta-llama/Llama-3.2-1B-Instruct

adapter

llama3.2

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llama_finetune_mind2web_1B

This model is a fine-tuned version of meta-llama/Llama-3.2-1B-Instruct on the Mind2Web dataset. It achieves the following results on the evaluation set:

Loss: 4.6648

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: 1e-05
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: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
7.566	1.0	505	5.1133
4.9889	2.0	1010	4.7279
4.7964	3.0	1515	4.6648

Framework versions

PEFT 0.13.2
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

ShinDC/llama_finetune_mind2web_1B

llama_finetune_mind2web_1B

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ShinDC/
llama_finetune_mind2web_1B