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mt0-base_PrefixTuning_lr5e-05_bs2_epoch1_wd0.01
jysssacc/mt0-base_PrefixTuning_lr5e-05_bs2_epoch1_wd0.01
mt0-base_PrefixTuning_lr5e-05_bs2_epoch1_wd0.01 is a machine learning model from jysssacc. 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 peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 6, 2024
- Updated
- Jan 6, 2024
- SHA
- 45767930
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. -->
mt0-base_PrefixTuning_lr5e-05_bs2_epoch1_wd0.01
This model is a fine-tuned version of bigscience/mt0-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4114
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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.8019 | 1.0 | 314 | 0.4114 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 6, 2024
- Updated
- Jan 6, 2024