byt5-base-tagged-1e4-jit-10epochs-a100-chunked-bs8-ga16-eb128 – AI Model by jinx2321 | AlphaNeural AI

You can deploy this model and start earning money today!

jinx2321/
byt5-base-tagged-1e4-jit-10epochs-a100-chunked-bs8-ga16-eb128

like

0

text2text-generation

generated_from_trainer

google/byt5-base

text-generation-inference

endpoints_compatible

Views

No views yet

byt5-base-tagged-1e4-jit-7epochs-a100-chunked-bs8-ga16-eb128

This model is a fine-tuned version of google/byt5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1208

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: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 128
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.01
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
0.2153	1.0	2507	0.1808
0.1745	2.0	5014	0.1515
0.152	3.0	7521	0.1373
0.1404	4.0	10028	0.1309
0.1289	5.0	12535	0.1272
0.1286	6.0	15042	0.1243
0.1245	8.0	20056	0.1224
0.1188	9.0	22563	0.1214
0.1182	10.0	25070	0.1208

Framework versions

Transformers 4.57.3
Pytorch 2.9.1+cu128
Datasets 4.4.1
Tokenizers 0.22.1