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flan-xl-gen2
devvanshhh/flan-xl-gen2
flan-xl-gen2 is a machine learning model from devvanshhh. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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Updated Nov 22, 2023
Repo size
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At a glance
- Access
- Public
- Created
- Nov 22, 2023
- Updated
- Nov 22, 2023
- SHA
- 077d1e22
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. -->
flan-xl-gen2
This model is a fine-tuned version of ybelkada/flan-t5-xl-sharded-bf16 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7134
- Rouge1: 32.8362
- Rouge2: 24.6174
- Rougel: 29.4825
- Rougelsum: 29.8057
- Gen Len: 10.8602
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: 3e-05
- train_batch_size: 8
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 362 | 16.9256 | 19.0988 | 13.2345 | 16.7051 | 16.8227 | 14.5155 |
| 21.9637 | 2.0 | 724 | 0.9058 | 25.6321 | 19.4333 | 22.9915 | 23.0319 | 12.2298 |
| 1.1153 | 3.0 | 1086 | 0.8224 | 33.772 | 27.2536 | 30.9184 | 30.9024 | 9.3851 |
| 1.1153 | 4.0 | 1448 | 0.7790 | 31.8945 | 24.0796 | 28.6922 | 28.9082 | 10.7081 |
| 0.8196 | 5.0 | 1810 | 0.7526 | 32.0479 | 23.9638 | 28.7508 | 28.9928 | 10.9565 |
| 0.768 | 6.0 | 2172 | 0.7372 | 32.4934 | 24.2711 | 29.1369 | 29.4352 | 10.9130 |
| 0.7461 | 7.0 | 2534 | 0.7262 | 33.7013 | 25.5198 | 30.3086 | 30.6278 | 10.4938 |
| 0.7461 | 8.0 | 2896 | 0.7187 | 33.2769 | 25.0711 | 29.8857 | 30.1898 | 10.6925 |
| 0.7247 | 9.0 | 3258 | 0.7143 | 32.9304 | 24.7808 | 29.6111 | 29.9039 | 10.8075 |
| 0.7282 | 10.0 | 3620 | 0.7134 | 32.8362 | 24.6174 | 29.4825 | 29.8057 | 10.8602 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Created
- Nov 22, 2023
- Updated
- Nov 22, 2023