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---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- pszemraj/fleece2instructions
metrics:
- rouge
model-index:
- name: flan-t5-xl-instructiongen
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: pszemraj/fleece2instructions
type: pszemraj/fleece2instructions
split: validation
metrics:
- name: Rouge1
type: rouge
value: 65.3297
---
# flan-t5-xl-instructiongen
This model is a fine-tuned version of [google/flan-t5-xl](https://huggingface.co/google/flan-t5-xl) on the pszemraj/fleece2instructions dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8314
- Rouge1: 65.3297
- Rouge2: 48.8475
- Rougel: 63.4183
- Rougelsum: 63.5458
- Gen Len: 13.7474
## Model description
More information needed
## Intended uses & limitations
Generate/recover **instructions** (assumes that there is just an instruction, not `inputs` as well) from arbitrary text.
## Training and evaluation data
Refer to `pszemraj/fleece2instructions`
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 6e-05
- train_batch_size: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.9615 | 1.0 | 362 | 0.8353 | 63.9163 | 47.0456 | 61.9554 | 62.0549 | 13.3737 |
| 0.809 | 2.0 | 724 | 0.8251 | 64.5398 | 47.9107 | 62.5928 | 62.7278 | 13.4763 |
|