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tvganesh
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test_trainer

Transformers
PyTorch
t5
text2text-generation
Generated from Trainer
text-generation-inference
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tvganesh commited on
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End of training

Browse files
Files changed (7) hide show
  1. README.md +55 -34
  2. config.json +2 -2
  3. generation_config.json +1 -1
  4. pytorch_model.bin +1 -1
  5. tokenizer.json +1 -6
  6. tokenizer_config.json +4 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -1,28 +1,13 @@
1
  ---
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  license: apache-2.0
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- base_model: t5-small
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  tags:
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  - generated_from_trainer
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- datasets:
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- - billsum
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  metrics:
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  - rouge
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  model-index:
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  - name: test_trainer
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- results:
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- - task:
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- name: Sequence-to-sequence Language Modeling
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- type: text2text-generation
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- dataset:
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- name: billsum
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- type: billsum
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- config: default
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- split: ca_test
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- args: default
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- metrics:
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- - name: Rouge1
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- type: rouge
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- value: 0.1416
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,14 +15,14 @@ should probably proofread and complete it, then remove this comment. -->
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  # test_trainer
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- This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the billsum dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5392
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- - Rouge1: 0.1416
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- - Rouge2: 0.0487
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- - Rougel: 0.1147
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- - Rougelsum: 0.1146
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- - Gen Len: 19.0
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  ## Model description
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@@ -56,27 +41,63 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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- - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 62 | 2.8306 | 0.1276 | 0.0376 | 0.1061 | 0.1064 | 19.0 |
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- | No log | 2.0 | 124 | 2.6198 | 0.1367 | 0.0468 | 0.1118 | 0.1117 | 19.0 |
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- | No log | 3.0 | 186 | 2.5563 | 0.1409 | 0.0488 | 0.1144 | 0.1145 | 19.0 |
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- | No log | 4.0 | 248 | 2.5392 | 0.1416 | 0.0487 | 0.1147 | 0.1146 | 19.0 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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- - Transformers 4.33.1
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  - Pytorch 2.0.0
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  - Datasets 2.14.5
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  - Tokenizers 0.13.3
 
1
  ---
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  license: apache-2.0
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+ base_model: tvganesh/test_trainer
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  tags:
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  - generated_from_trainer
 
 
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  metrics:
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  - rouge
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  model-index:
9
  - name: test_trainer
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+ results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
11
  ---
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13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # test_trainer
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+ This model is a fine-tuned version of [tvganesh/test_trainer](https://huggingface.co/tvganesh/test_trainer) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0000
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+ - Rouge1: 0.8325
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+ - Rouge2: 0.8187
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+ - Rougel: 0.8294
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+ - Rougelsum: 0.8312
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+ - Gen Len: 18.6
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27
  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0056
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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  - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-06
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  - lr_scheduler_type: linear
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+ - num_epochs: 40
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52
  ### Training results
53
 
54
  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 5 | 0.2345 | 0.7001 | 0.6536 | 0.6998 | 0.6957 | 16.3 |
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+ | No log | 2.0 | 10 | 0.1472 | 0.7958 | 0.7695 | 0.7929 | 0.7965 | 18.3 |
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+ | No log | 3.0 | 15 | 0.1174 | 0.7196 | 0.6705 | 0.7187 | 0.7118 | 16.3 |
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+ | No log | 4.0 | 20 | 0.0554 | 0.7977 | 0.774 | 0.7907 | 0.7958 | 18.6 |
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+ | No log | 5.0 | 25 | 0.0725 | 0.8205 | 0.8074 | 0.8188 | 0.8212 | 18.6 |
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+ | No log | 6.0 | 30 | 0.0281 | 0.8114 | 0.7929 | 0.8098 | 0.8123 | 18.6 |
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+ | No log | 7.0 | 35 | 0.0451 | 0.7959 | 0.7678 | 0.7908 | 0.7945 | 18.6 |
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+ | No log | 8.0 | 40 | 0.0438 | 0.8285 | 0.8061 | 0.8205 | 0.8227 | 18.5 |
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+ | No log | 9.0 | 45 | 0.0178 | 0.8249 | 0.8109 | 0.8225 | 0.8243 | 18.6 |
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+ | No log | 10.0 | 50 | 0.0072 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 11.0 | 55 | 0.0119 | 0.8336 | 0.8217 | 0.8315 | 0.833 | 18.6 |
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+ | No log | 12.0 | 60 | 0.0104 | 0.8336 | 0.8217 | 0.8315 | 0.833 | 18.6 |
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+ | No log | 13.0 | 65 | 0.0031 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 14.0 | 70 | 0.0099 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 15.0 | 75 | 0.0067 | 0.8284 | 0.8053 | 0.8213 | 0.8226 | 18.6 |
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+ | No log | 16.0 | 80 | 0.0019 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 17.0 | 85 | 0.0173 | 0.8143 | 0.798 | 0.8111 | 0.8102 | 18.2 |
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+ | No log | 18.0 | 90 | 0.0007 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 19.0 | 95 | 0.0004 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 20.0 | 100 | 0.0195 | 0.8325 | 0.813 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 21.0 | 105 | 0.0057 | 0.8325 | 0.813 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 22.0 | 110 | 0.0005 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 23.0 | 115 | 0.0010 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 24.0 | 120 | 0.0003 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 25.0 | 125 | 0.0004 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 26.0 | 130 | 0.0005 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 27.0 | 135 | 0.0002 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 28.0 | 140 | 0.0001 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 29.0 | 145 | 0.0010 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 30.0 | 150 | 0.0003 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 31.0 | 155 | 0.0001 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 32.0 | 160 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 33.0 | 165 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 34.0 | 170 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 35.0 | 175 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 36.0 | 180 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 37.0 | 185 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 38.0 | 190 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 39.0 | 195 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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+ | No log | 40.0 | 200 | 0.0000 | 0.8325 | 0.8187 | 0.8294 | 0.8312 | 18.6 |
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  ### Framework versions
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+ - Transformers 4.33.2
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  - Pytorch 2.0.0
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  - Datasets 2.14.5
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  - Tokenizers 0.13.3
config.json CHANGED
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  {
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- "_name_or_path": "t5-small",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
@@ -55,7 +55,7 @@
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  }
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  },
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  "torch_dtype": "float32",
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- "transformers_version": "4.33.1",
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  "use_cache": true,
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  "vocab_size": 32128
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  }
 
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  {
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+ "_name_or_path": "tvganesh/test_trainer",
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  "architectures": [
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  "T5ForConditionalGeneration"
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  ],
 
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  }
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  },
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  "torch_dtype": "float32",
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+ "transformers_version": "4.33.2",
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  "use_cache": true,
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  "vocab_size": 32128
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  }
generation_config.json CHANGED
@@ -2,5 +2,5 @@
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- "transformers_version": "4.33.1"
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  "pad_token_id": 0,
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+ "transformers_version": "4.33.2"
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tokenizer_config.json CHANGED
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  "clean_up_tokenization_spaces": true,
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  "extra_ids": 100,
 
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  "model_max_length": 512,
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  "pad_token": "<pad>",
 
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  "tokenizer_class": "T5Tokenizer",
 
 
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  "unk_token": "<unk>"
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  }
 
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  "clean_up_tokenization_spaces": true,
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  "eos_token": "</s>",
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