V0305O7

Litzy619/V0305O7

V0305O7 is a machine learning model from Litzy619. 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 Mar 6, 2024

Parameters

6.9B

14.8 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors14 GB · 95%

Parameter types

How the weights are stored.

F166.7B · 98%

Base models

yahma/llama-7b-hf

Model card

From the Hugging Face model README

V0305O7

This model is a fine-tuned version of yahma/llama-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1494

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: 0.0003
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 32
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_steps: 20
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.4766	0.09	10	0.6952
0.4255	0.17	20	0.1685
0.17	0.26	30	0.1509
0.1517	0.34	40	0.1541
0.1513	0.43	50	0.1504
0.1572	0.51	60	0.1512
0.1522	0.6	70	0.1504
0.153	0.68	80	0.1493
0.1494	0.77	90	0.1491
0.1525	0.85	100	0.1494
0.1543	0.94	110	0.1495
0.1505	1.02	120	0.1497
0.1544	1.11	130	0.1511
0.1498	1.19	140	0.1510
0.1554	1.28	150	0.1513
0.1547	1.37	160	0.1552
0.153	1.45	170	0.1489
0.1501	1.54	180	0.1497
0.1541	1.62	190	0.1498
0.1535	1.71	200	0.1486
0.1519	1.79	210	0.1521
0.1554	1.88	220	0.1506
0.1568	1.96	230	0.1498
0.1513	2.05	240	0.1501
0.1546	2.13	250	0.1487
0.1513	2.22	260	0.1494
0.1497	2.3	270	0.1491
0.155	2.39	280	0.1484
0.1531	2.47	290	0.1486
0.1518	2.56	300	0.1490
0.1509	2.65	310	0.1492
0.1523	2.73	320	0.1496
0.1505	2.82	330	0.1495
0.1504	2.9	340	0.1495
0.1514	2.99	350	0.1494

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.14.6
Tokenizers 0.14.1

License: other
Created: Mar 6, 2024
Updated: Mar 6, 2024