agutell
/

my_llama7B_100_r4_final2

Generated from Trainer

Model card Files Files and versions Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

my_llama7B_100_r4_final2

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6384

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: 4
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss
1.8681	0.03	20	1.7089
1.7241	0.06	40	1.6554
1.6718	0.1	60	1.6477
1.6748	0.13	80	1.6405
1.6735	0.16	100	1.6384

Framework versions

PEFT 0.11.1
Transformers 4.37.2
Pytorch 2.1.2+cu121
Datasets 2.16.1
Tokenizers 0.15.1

Downloads last month: 0

Inference API

Unable to determine this model’s pipeline type. Check the docs .

Model tree for agutell/my_llama7B_100_r4_final2

Base model

meta-llama/Llama-2-7b-hf

Adapter

(1799)

this model

Evaluation results

Metadata error: specify a dataset to view leaderboard