mt5_small_lg_inf_en

This model is a fine-tuned version of MubarakB/mt5_small_lg_en on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.4301
• Bleu: 0.3034
• Gen Len: 8.1551

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
No log	1.0	138	0.4671	0.0646	9.4449
No log	2.0	276	0.4562	0.1318	7.8898
No log	3.0	414	0.4511	0.2119	7.9878
0.4729	4.0	552	0.4476	0.2133	8.1184
0.4729	5.0	690	0.4451	0.2128	8.0816
0.4729	6.0	828	0.4433	0.3272	7.9224
0.4729	7.0	966	0.4415	0.3383	7.6571
0.4479	8.0	1104	0.4401	0.3281	7.5347
0.4479	9.0	1242	0.4390	0.3296	7.4286
0.4479	10.0	1380	0.4378	0.3157	7.6
0.4418	11.0	1518	0.4367	0.3288	7.4327
0.4418	12.0	1656	0.4360	0.316	7.4857
0.4418	13.0	1794	0.4350	0.3167	7.4898
0.4418	14.0	1932	0.4342	0.3161	7.698
0.4347	15.0	2070	0.4337	0.316	7.849
0.4347	16.0	2208	0.4333	0.3177	7.6735
0.4347	17.0	2346	0.4326	0.3174	7.8082
0.4347	18.0	2484	0.4324	0.3167	7.8531
0.4315	19.0	2622	0.4319	0.3185	8.0163
0.4315	20.0	2760	0.4316	0.318	8.0449
0.4315	21.0	2898	0.4313	0.3171	8.0571
0.4289	22.0	3036	0.4311	0.3195	7.9837
0.4289	23.0	3174	0.4308	0.3188	8.049
0.4289	24.0	3312	0.4307	0.3048	8.0694
0.4289	25.0	3450	0.4304	0.3046	8.1306
0.4264	26.0	3588	0.4303	0.3041	8.1224
0.4264	27.0	3726	0.4302	0.3044	8.1592
0.4264	28.0	3864	0.4301	0.3046	8.1306
0.4256	29.0	4002	0.4301	0.3039	8.1429
0.4256	30.0	4140	0.4301	0.3034	8.1551

Framework versions

• Transformers 4.45.1
• Pytorch 2.4.0
• Datasets 3.0.1
• Tokenizers 0.20.0