You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

mos-nllb-600M-fr2mos-latest

This model is a fine-tuned version of goaicorp/mos-nllb-600M-fr2mos on an unknown dataset. It achieves the following results on the evaluation set:

More information needed

More information needed

More information needed

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 700
num_epochs: 5

Training Loss	Epoch	Step	Validation Loss	Bleu	Gen Len
6.6768	1.0	1431	1.4800	21.8535	54.7175
5.8901	2.0	2862	1.3362	26.9724	59.6333
5.4822	3.0	4293	1.2612	27.655	59.0388
5.1473	4.0	5724	1.2305	27.681	59.288
5.0674	5.0	7155	1.2271	27.8126	57.1705

Safetensors

Model size

0.6B params

Tensor type

F32

Inference Providers NEW

This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Base model

Finetuned

(1)

this model