flan-t5-base-downsamples
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0041
- F1: 99.1107
- Gen Len: 2.0630
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: 0.0003
- 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
- num_epochs: 1
Training results
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.0.0
- Datasets 2.13.1
- Tokenizers 0.13.3
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Base model
google/flan-t5-base
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RottenLemons/flan-t5-base-downsamples") model = AutoModelForSeq2SeqLM.from_pretrained("RottenLemons/flan-t5-base-downsamples", device_map="auto")