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vaishnavik3/
llama-3-8b-chat-finetuned

Name: llama-3-8b-chat-finetuned
Availability: InStock

generated_from_trainer

meta-llama/Meta-Llama-3-8B-Instruct

adapter

llama3

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llama-3-8b-chat-finetuned

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1140

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: 0.0002
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 2
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 10
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.1587	0.1991	23	0.1420
0.1199	0.3983	46	0.1381
0.1346	0.5974	69	0.1250
0.1282	0.7965	92	0.1168
0.1022	0.9957	115	0.1140

Framework versions

PEFT 0.11.1
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

vaishnavik3/llama-3-8b-chat-finetuned

llama-3-8b-chat-finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

vaishnavik3/
llama-3-8b-chat-finetuned