README.md

metadata

base_model: samzirbo/mT5.en-es.pretrained
tags:
  - generated_from_trainer
metrics:
  - bleu
model-index:
  - name: gendered_new
    results: []

gendered_new

This model is a fine-tuned version of samzirbo/mT5.en-es.pretrained on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.1752
• Bleu: 43.4465
• Meteor: 0.6886
• Chrf++: 62.4831

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: 0.0005
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 1000
• training_steps: 50000

Training results

Training Loss	Epoch	Step	Validation Loss	Bleu	Meteor	Chrf++
4.5213	0.26	2500	2.0240	27.6825	0.5543	48.9268
2.422	0.53	5000	1.7336	33.2108	0.6032	54.1788
2.173	0.79	7500	1.5902	35.8768	0.6243	56.215
2.0274	1.05	10000	1.4993	37.3691	0.6371	57.5369
1.9096	1.32	12500	1.4399	38.4947	0.6495	58.5692
1.8532	1.58	15000	1.3892	39.6338	0.6586	59.4359
1.7999	1.84	17500	1.3481	40.1694	0.6639	59.8771
1.7366	2.11	20000	1.3057	41.1684	0.6702	60.6373
1.6849	2.37	22500	1.2913	41.2899	0.6702	60.7243
1.6608	2.64	25000	1.2600	41.9037	0.6749	61.1685
1.6367	2.9	27500	1.2382	42.2288	0.6806	61.5742
1.5943	3.16	30000	1.2196	42.9029	0.6828	61.9359
1.5647	3.43	32500	1.2091	42.7591	0.6826	61.9382
1.5553	3.69	35000	1.1987	43.2246	0.6845	62.2767
1.5466	3.95	37500	1.1888	43.3998	0.687	62.3713
1.5153	4.22	40000	1.1826	43.3886	0.6883	62.4512
1.5089	4.48	42500	1.1786	43.5134	0.6892	62.5449
1.5035	4.74	45000	1.1769	43.4891	0.6884	62.5178
1.5001	5.01	47500	1.1754	43.3885	0.6882	62.4596
1.4901	5.27	50000	1.1752	43.4465	0.6886	62.4831

Framework versions

• Transformers 4.38.0
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.15.2