english_tm_model

AbdulSami/english_tm_model

english_tm_model is a machine learning model from AbdulSami. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as llama3.1.

should probably proofread and complete it, then remove this comment. --

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Hugging Face

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At a glance

Library: peft
License: llama3.1
Access: Public
Created: Aug 18, 2024
Updated: Aug 19, 2024
SHA: bbe13f4c

Base models

Model card

From the Hugging Face model README

english_tm_model

This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-70B on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2883

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: 4
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 25
training_steps: 300
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.75	0.32	50	1.3528
1.338	0.64	100	1.3195
1.3357	0.96	150	1.2975
1.2553	1.28	200	1.2956
1.2688	1.6	250	1.2909
1.2363	1.92	300	1.2883

Framework versions

PEFT 0.12.0
Transformers 4.44.0
Pytorch 2.1.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1

Library: peft
License: llama3.1
Created: Aug 18, 2024
Updated: Aug 19, 2024