LLAMA_2_chkpoint_workshop

sidhant-dhar/LLAMA_2_chkpoint_workshop

LLAMA_2_chkpoint_workshop is a machine learning model from sidhant-dhar. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

Downloads · 30 days

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Public

Updated Aug 26, 2023

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16.8 MB

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Hugging Face

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At a glance

Access: Public
Created: Aug 26, 2023
Updated: Aug 26, 2023
SHA: feec121f

Model card

From the Hugging Face model README

LLAMA_2_chkpoint_workshop

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2365

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant
lr_scheduler_warmup_ratio: 0.03
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.2415	0.08	200	1.2720
1.2148	0.16	400	1.2606
1.2272	0.24	600	1.2555
1.2204	0.32	800	1.2516
1.2052	0.41	1000	1.2487
1.2205	0.49	1200	1.2467
1.2079	0.57	1400	1.2432
1.2081	0.65	1600	1.2417
1.2365	0.73	1800	1.2409
1.168	0.81	2000	1.2388
1.205	0.89	2200	1.2371
1.1923	0.97	2400	1.2365

Framework versions

Transformers 4.33.0.dev0
Pytorch 2.0.0+cu118
Datasets 2.14.4
Tokenizers 0.13.3

Created: Aug 26, 2023
Updated: Aug 26, 2023