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# tyzhu/squad_first_sent_v4_train_30_eval_10_flan-t5-xl

This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on the tyzhu/squad_first_sent_v4_train_30_eval_10 dataset.
It achieves the following results on the evaluation set:
- Exact Match: 0.0
- F1: 28.5632
- Loss: 0.0012

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 100.0

### Training results



### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "datasets": ["tyzhu/squad_first_sent_v4_train_30_eval_10"], "metrics": ["f1"], "base_model": "google/flan-t5-xl", "model-index": [{"name": "tyzhu/squad_first_sent_v4_train_30_eval_10_flan-t5-xl", "results": [{"task": {"type": "question-answering", "name": "Question Answering"}, "dataset": {"name": "tyzhu/squad_first_sent_v4_train_30_eval_10", "type": "tyzhu/squad_first_sent_v4_train_30_eval_10"}, "metrics": [{"type": "f1", "value": 28.563241057679317, "name": "F1"}]}]}]}
transformers pytorch t5 text2text-generation generated_from_trainer dataset:tyzhu/squad_first_sent_v4_train_30_eval_10 base_model:google/flan-t5-xl license:apache-2.0 model-index autotrain_compatible endpoints_compatible text-generation-inference region:us