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license: apache-2.0
base_model: tvganesh/test_trainer
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: test_trainer
results: []
---
<!-- 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. -->
# test_trainer
This model is a fine-tuned version of [tvganesh/test_trainer](https://huggingface.co/tvganesh/test_trainer) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0000
- Rouge1: 0.8325
- Rouge2: 0.8187
- Rougel: 0.8294
- Rougelsum: 0.8312
- Gen Len: 18.6
## 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: 0.0056
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-06
- lr_scheduler_type: linear
- num_epochs: 40
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log | 1.0 | 5 | 0.2345 | 0.7001 | 0.6536 | 0.6998 | 0.6957 | 16.3 |
| No log | 2.0 | 10 | 0.1472 | 0.7958 | 0.7695 | 0.7929 | 0.7965 | 18.3 |
| No log | 3.0 | 15 | 0.1174 | 0.7196 | 0.6705 | 0.7187 | 0.7118 | 16.3 |
| No log | 4.0 | 20 | 0.0554 | 0.7977 | 0.774 | 0.7907 | 0.7958 | 18.6 |
| No log | 5.0 | 25 | 0.0725 | 0.8205 | 0.8074 | 0.8188 | 0.8212 | 18.6 |
| No log | 6.0 | 30 | 0.0281 | 0.8114 | 0.7929 | 0.8098 | 0.8123 | 18.6 |
| No log | 7.0 | 35 | 0.0451 | 0.7959 | 0.7678 | 0.7908 | 0.7945 | 18.6 |
| No log | 8.0 | 40 | 0.0438 | 0.8285 | 0.8061 | 0.8205 | 0.8227 | 18.5 |
| No log | 9.0 | 45 | 0.0178 | 0.8249 | 0.8109 | 0.8225 | 0.8243 | 18.6 |
| No log | 10.0 | 50 | 0.0072 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 11.0 | 55 | 0.0119 | 0.8336 | 0.8217 | 0.8315 | 0.833 | 18.6 |
| No log | 12.0 | 60 | 0.0104 | 0.8336 | 0.8217 | 0.8315 | 0.833 | 18.6 |
| No log | 13.0 | 65 | 0.0031 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 14.0 | 70 | 0.0099 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 15.0 | 75 | 0.0067 | 0.8284 | 0.8053 | 0.8213 | 0.8226 | 18.6 |
| No log | 16.0 | 80 | 0.0019 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 17.0 | 85 | 0.0173 | 0.8143 | 0.798 | 0.8111 | 0.8102 | 18.2 |
| No log | 18.0 | 90 | 0.0007 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 19.0 | 95 | 0.0004 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 20.0 | 100 | 0.0195 | 0.8325 | 0.813 | 0.8294 | 0.8312 | 18.6 |
| No log | 21.0 | 105 | 0.0057 | 0.8325 | 0.813 | 0.8294 | 0.8312 | 18.6 |
| No log | 22.0 | 110 | 0.0005 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 23.0 | 115 | 0.0010 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 24.0 | 120 | 0.0003 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 25.0 | 125 | 0.0004 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 26.0 | 130 | 0.0005 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 27.0 | 135 | 0.0002 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 28.0 | 140 | 0.0001 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 29.0 | 145 | 0.0010 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 30.0 | 150 | 0.0003 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 31.0 | 155 | 0.0001 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 32.0 | 160 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 33.0 | 165 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 34.0 | 170 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 35.0 | 175 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 36.0 | 180 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 37.0 | 185 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 38.0 | 190 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 39.0 | 195 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
| No log | 40.0 | 200 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
### Framework versions
- Transformers 4.33.2
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3
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