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Fatoumataa/
mt5-bambara-resumer-boost1

Name: mt5-bambara-resumer-boost1
Availability: InStock

generated_from_trainer

Fatoumataa/mt5-bambara-resumer-final

finetune

apache-2.0

endpoints_compatible

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mt5-bambara-resumer-boost1

This model is a fine-tuned version of Fatoumataa/mt5-bambara-resumer-final on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.4747
Rouge1: 0.5265
Rouge2: 0.2725
Rougel: 0.3724
Rougelsum: 0.3723

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 32
optimizer: Use OptimizerNames.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_steps: 50
num_epochs: 8
label_smoothing_factor: 0.05

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum
44.6779	1.0	564	2.5577	0.5194	0.2639	0.3621	0.3621
44.1834	2.0	1128	2.5343	0.5229	0.2675	0.3667	0.3666
43.8472	3.0	1692	2.5124	0.524	0.2695	0.3689	0.3688
43.0695	4.0	2256	2.4924	0.5232	0.2701	0.37	0.3698
43.0494	5.0	2820	2.4903	0.5249	0.2709	0.3713	0.3712
42.8678	6.0	3384	2.4828	0.5279	0.2721	0.3723	0.372
42.8899	7.0	3948	2.4752	0.5265	0.2721	0.3719	0.3718
42.9689	8.0	4512	2.4747	0.5265	0.2725	0.3724	0.3723

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

Fatoumataa/mt5-bambara-resumer-boost1

mt5-bambara-resumer-boost1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Fatoumataa/
mt5-bambara-resumer-boost1