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---
license: apache-2.0
base_model: google/t5-small-lm-adapt
tags:
- generated_from_trainer
datasets:
- Isotonic/planner_dataset
metrics:
- rouge
model-index:
- name: plan_t5
results:
- task:
name: Summarization
type: summarization
dataset:
name: Isotonic/planner_dataset
type: Isotonic/planner_dataset
metrics:
- name: Rouge1
type: rouge
value: 58.1228
---
<!-- 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. -->
# plan_t5
This model is a fine-tuned version of [google/t5-small-lm-adapt](https://huggingface.co/google/t5-small-lm-adapt) on the Isotonic/planner_dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4366
- Rouge1: 58.1228
- Rouge2: 24.3461
- Rougel: 58.1313
- Rougelsum: 58.1335
- Gen Len: 7.9747
## 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: 8
- eval_batch_size: 8
- seed: 37
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 5.0
### Training results
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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