You can deploy this model and start earning money today!

ameykaran/
blt-text-reversal

Name: blt-text-reversal
Availability: InStock

transformers

safetensors

generated_from_trainer

endpoints_compatible

Views

No views yet

blt-text-reversal

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 2.2099
Char Accuracy: 0.0073
Sequence Accuracy: 0.0
Edit Distance: 117.8885

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: 128
eval_batch_size: 128
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1000

Training results

Training Loss	Epoch	Step	Validation Loss	Char Accuracy	Edit Distance
3.9289	1.0	79	3.4203	0.0497	130.3595
3.2214	2.0	158	3.0127	0.0	123.831
2.9326	3.0	237	2.8196	0.0	121.3795
2.7944	4.0	316	2.7267	0.0	121.179
2.7204	5.0	395	2.6716	0.0001	120.889
2.6723	6.0	474	2.6335	0.0001	120.652
2.6379	7.0	553	2.6048	0.0002	120.4915
2.6126	8.0	632	2.5820	0.0004	120.372
2.5905	9.0	711	2.5628	0.0006	120.348
2.5713	10.0	790	2.5460	0.0014	120.2635
2.5554	11.0	869	2.5310	0.0018	120.198
2.5395	12.0	948	2.5166	0.0017	120.044
2.525	13.0	1027	2.5025	0.0025	119.9965
2.5104	14.0	1106	2.4892	0.0022	119.8795
2.4977	15.0	1185	2.4762	0.0029	119.825
2.4843	16.0	1264	2.4640	0.0031	119.642
2.4722	17.0	1343	2.4523	0.0030	119.6285
2.4602	18.0	1422	2.4406	0.0027	119.5435
2.4478	19.0	1501	2.4286	0.0034	119.5165
2.4364	20.0	1580	2.4174	0.0033	119.513
2.4242	21.0	1659	2.4065	0.0034	119.4225
2.4129	22.0	1738	2.3957	0.0037	119.3935
2.4021	23.0	1817	2.3860	0.0039	119.3675
2.3918	24.0	1896	2.3759	0.0039	119.343
2.3824	25.0	1975	2.3662	0.0042	119.2295
2.3729	26.0	2054	2.3574	0.0042	119.172
2.3641	27.0	2133	2.3487	0.0043	119.11
2.3556	28.0	2212	2.3405	0.0049	119.0445
2.3459	29.0	2291	2.3326	0.0052	118.9715
2.339	30.0	2370	2.3247	0.0057	118.9435
2.3305	31.0	2449	2.3168	0.0050	118.8695
2.3224	32.0	2528	2.3098	0.0059	118.85
2.3152	33.0	2607	2.3026	0.0059	118.759
2.3079	34.0	2686	2.2960	0.0061	118.7105
2.3012	35.0	2765	2.2893	0.0058	118.671
2.2949	36.0	2844	2.2825	0.0060	118.586
2.2885	37.0	2923	2.2768	0.0061	118.476
2.2806	38.0	3002	2.2708	0.0063	118.532
2.2749	39.0	3081	2.2652	0.0065	118.4015
2.2684	40.0	3160	2.2601	0.0065	118.3975
2.2635	41.0	3239	2.2543	0.007	118.2825
2.2587	42.0	3318	2.2488	0.0070	118.247
2.2532	43.0	3397	2.2442	0.0071	118.175
2.2472	44.0	3476	2.2393	0.0065	118.1065
2.2414	45.0	3555	2.2350	0.0070	118.0595
2.2369	46.0	3634	2.2302	0.0072	118.0635
2.2324	47.0	3713	2.2260	0.0070	118.0125
2.2281	48.0	3792	2.2220	0.0067	118.051
2.2234	49.0	3871	2.2178	0.0070	117.994
2.2192	50.0	3950	2.2133	0.0068	117.888
2.2145	51.0	4029	2.2099	0.0073	117.8885

Framework versions

Transformers 4.55.4
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.21.4

ameykaran/blt-text-reversal

blt-text-reversal

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

ameykaran/
blt-text-reversal