Zephyr7bfinetunedepoch5latest

Lalith16/Zephyr7bfinetunedepoch5latest

Zephyr7bfinetunedepoch5latest is a machine learning model from Lalith16. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.

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

Downloads · 30 days

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Public

Updated Jan 25, 2024

Repo size

609 MB

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Public

Hugging Face

Repo makeup

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.safetensors609 MB · 100%

At a glance

License: mit
Access: Public
Created: Jan 25, 2024
Updated: Jan 25, 2024
SHA: ddc2fc21

Base models

HuggingFaceH4/zephyr-7b-beta

Model card

From the Hugging Face model README

results

This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-beta on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6394

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: 2.5e-05
train_batch_size: 4
eval_batch_size: 8
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: 10

Training results

Training Loss	Epoch	Step	Validation Loss
1.367	0.35	100	1.3594
0.774	0.69	200	0.9080
0.7724	1.04	300	0.7654
0.6987	1.39	400	0.7205
0.6482	1.74	500	0.6828
0.5204	2.08	600	0.6499
0.5828	2.43	700	0.6353
0.522	2.78	800	0.6170
0.3334	3.12	900	0.6522
0.3643	3.47	1000	0.6149
0.3551	3.82	1100	0.6138
0.3144	4.17	1200	0.6430
0.3194	4.51	1300	0.6468
0.3341	4.86	1400	0.6287
0.2982	5.21	1500	0.6403
0.3056	5.56	1600	0.6394

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

License: mit
Created: Jan 25, 2024
Updated: Jan 25, 2024