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mt5-base-mrsum-e27
AmaanDhamaskar/mt5-base-mrsum-e27
mt5-base-mrsum-e27 is a machine learning model from AmaanDhamaskar. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mt5
- Access
- Public
- Created
- Apr 10, 2025
- Updated
- Apr 10, 2025
- SHA
- bffca98b
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mt5-base-mrsum-e27
This model is a fine-tuned version of AmaanDhamaskar/mt5-base-xlmsum-mr-e15 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.7761
- eval_rouge1: 11.6082
- eval_rouge2: 9.982
- eval_rougeL: 11.5371
- eval_rougeLsum: 11.5061
- eval_runtime: 244.9107
- eval_samples_per_second: 6.807
- eval_steps_per_second: 1.703
- epoch: 11.0
- step: 60489
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: 5.6e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 12
Framework versions
- Transformers 4.51.1
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- mt5
- Created
- Apr 10, 2025
- Updated
- Apr 10, 2025