models-moved

joedonino/models-moved

models-moved is a machine learning model from joedonino. 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

Access

Public

Updated Nov 24, 2023

Repo size

219 MB

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Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors218 MB · 99%

At a glance

License: mit
Access: Public
Created: Nov 24, 2023
Updated: Nov 24, 2023
SHA: 6e9eeeb5

Base models

HuggingFaceH4/zephyr-7b-beta

Model card

From the Hugging Face model README

models

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: 0.7368

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 40
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9828	0.02	1	1.0330
1.1538	0.03	2	1.0256
0.9734	0.05	3	1.0120
1.0574	0.07	4	0.9942
0.9797	0.09	5	0.9755
0.9399	0.1	6	0.9580
1.0294	0.12	7	0.9434
0.7965	0.14	8	0.9318
0.7741	0.16	9	0.9236
0.8252	0.17	10	0.9178
0.8478	0.19	11	0.9135
0.9641	0.21	12	0.9068
0.9073	0.22	13	0.8980
0.9682	0.24	14	0.8877
0.8794	0.26	15	0.8774
0.7602	0.28	16	0.8690
0.9019	0.29	17	0.8611
0.8619	0.31	18	0.8547
0.8195	0.33	19	0.8484
0.9562	0.34	20	0.8418
0.7822	0.36	21	0.8366
0.767	0.38	22	0.8308
0.9024	0.4	23	0.8242
0.8596	0.41	24	0.8183
0.8424	0.43	25	0.8123
0.7396	0.45	26	0.8059
0.7742	0.47	27	0.7999
0.7007	0.48	28	0.7943
0.6915	0.5	29	0.7890
0.7054	0.52	30	0.7836
0.7622	0.53	31	0.7785
0.6493	0.55	32	0.7720
0.6106	0.57	33	0.7650
0.7534	0.59	34	0.7583
0.7065	0.6	35	0.7532
0.8823	0.62	36	0.7472
0.7082	0.64	37	0.7424
0.7292	0.66	38	0.7405
0.8142	0.67	39	0.7390
0.6079	0.69	40	0.7368

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

License: mit
Created: Nov 24, 2023
Updated: Nov 24, 2023