Tess34-fans

affecto/Tess34-fans

Tess34-fans is a machine learning model from affecto. 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 other.

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

Downloads · 30 days

Access

Public

Updated Nov 29, 2023

Repo size

2.1 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors86.6 MB · 100%

At a glance

License: other
Access: Public
Created: Nov 29, 2023
Updated: Nov 29, 2023
SHA: 62b23efc

Base models

TheBloke/Tess-M-v1.3-GPTQ

Model card

From the Hugging Face model README

Tess34-fans

This model is a fine-tuned version of TheBloke/Tess-M-v1.3-GPTQ on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.7360

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: 0.0004
train_batch_size: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.2094	0.02	50	0.9702
0.9633	0.04	100	0.9093
0.91	0.06	150	0.8754
0.8928	0.08	200	0.8588
0.8768	0.1	250	0.8428
0.8344	0.12	300	0.8235
0.8345	0.14	350	0.8160
0.812	0.16	400	0.8125
0.8605	0.18	450	0.8079
0.8263	0.21	500	0.7884
0.7863	0.23	550	0.7849
0.7751	0.25	600	0.7798
0.7976	0.27	650	0.7695
0.7584	0.29	700	0.7631
0.8019	0.31	750	0.7552
0.7626	0.33	800	0.7501
0.7566	0.35	850	0.7472
0.7261	0.37	900	0.7424
0.7613	0.39	950	0.7379
0.7274	0.41	1000	0.7360

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

License: other
Created: Nov 29, 2023
Updated: Nov 29, 2023