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t5-flan-semantic

Text2Text Generation
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End of training

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  1. README.md +40 -40
  2. config.json +1 -1
  3. generation_config.json +1 -1
  4. model.safetensors +1 -1
  5. runs/Mar14_03-58-11_a6dffb46838a/events.out.tfevents.1710388692.a6dffb46838a.273.0 +3 -0
  6. runs/Mar14_04-03-49_a6dffb46838a/events.out.tfevents.1710389029.a6dffb46838a.273.1 +3 -0
  7. runs/Mar14_04-05-09_a6dffb46838a/events.out.tfevents.1710389109.a6dffb46838a.273.2 +3 -0
  8. tokenizer_config.json +1 -0
  9. training_args.bin +2 -2
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) 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: 1.0
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- - Rouge2: 1.0
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- - Rougel: 1.0
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- - Rougelsum: 1.0
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  ## Model description
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@@ -42,7 +42,7 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0003
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  - train_batch_size: 8
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- - eval_batch_size: 4
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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
@@ -52,41 +52,41 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | No log | 1.0 | 1 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 2.0 | 2 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 3 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 4 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 5 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 6 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 7 | 0.0283 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 8 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 9.0 | 9 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 10.0 | 10 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 11.0 | 11 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 12.0 | 12 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 13.0 | 13 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 14.0 | 14 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 15.0 | 15 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 16.0 | 16 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 17.0 | 17 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 18.0 | 18 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 19.0 | 19 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 20.0 | 20 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 21.0 | 21 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 22.0 | 22 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 23.0 | 23 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 24.0 | 24 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 25.0 | 25 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 26.0 | 26 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 27.0 | 27 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 28.0 | 28 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 29.0 | 29 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 30.0 | 30 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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- - Transformers 4.35.2
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- - Pytorch 2.1.0+cu118
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- - Datasets 2.14.7
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- - Tokenizers 0.15.0
 
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  This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
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+ - Loss: 0.0553
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+ - Rouge1: 0.8952
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+ - Rouge2: 0.8673
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+ - Rougel: 0.8952
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+ - Rougelsum: 0.8952
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  ## Model description
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  The following hyperparameters were used during training:
43
  - learning_rate: 0.0003
44
  - train_batch_size: 8
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+ - eval_batch_size: 8
46
  - seed: 42
47
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
48
  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | 0.0194 | 1.0 | 2 | 0.0082 | 0.9333 | 0.9158 | 0.9333 | 0.9333 |
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+ | 0.0042 | 2.0 | 4 | 0.0408 | 0.9238 | 0.9031 | 0.9238 | 0.9238 |
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+ | 0.0002 | 3.0 | 6 | 0.0647 | 0.9238 | 0.9031 | 0.9238 | 0.9238 |
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+ | 0.0002 | 4.0 | 8 | 0.1117 | 0.9238 | 0.9031 | 0.9238 | 0.9238 |
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+ | 0.0007 | 5.0 | 10 | 0.1404 | 0.9238 | 0.9031 | 0.9238 | 0.9238 |
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+ | 0.0006 | 6.0 | 12 | 0.0987 | 0.9238 | 0.9031 | 0.9238 | 0.9238 |
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+ | 0.0005 | 7.0 | 14 | 0.0587 | 0.9238 | 0.9031 | 0.9238 | 0.9238 |
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+ | 0.0005 | 8.0 | 16 | 0.0251 | 0.9238 | 0.9031 | 0.9238 | 0.9238 |
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+ | 0.0022 | 9.0 | 18 | 0.0128 | 0.9095 | 0.8852 | 0.9095 | 0.9095 |
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+ | 0.0002 | 10.0 | 20 | 0.0228 | 0.8952 | 0.8622 | 0.8952 | 0.8952 |
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+ | 0.0003 | 11.0 | 22 | 0.0351 | 0.8952 | 0.8622 | 0.8952 | 0.8952 |
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+ | 0.0008 | 12.0 | 24 | 0.0374 | 0.9190 | 0.8980 | 0.9190 | 0.9190 |
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+ | 0.0004 | 13.0 | 26 | 0.0462 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0 | 14.0 | 28 | 0.0610 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0001 | 15.0 | 30 | 0.0737 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0005 | 16.0 | 32 | 0.0839 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0002 | 17.0 | 34 | 0.0917 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0009 | 18.0 | 36 | 0.1001 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0005 | 19.0 | 38 | 0.1054 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0012 | 20.0 | 40 | 0.1079 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0 | 21.0 | 42 | 0.1085 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0 | 22.0 | 44 | 0.1015 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0018 | 23.0 | 46 | 0.0862 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0001 | 24.0 | 48 | 0.0752 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0004 | 25.0 | 50 | 0.0675 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0001 | 26.0 | 52 | 0.0623 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0 | 27.0 | 54 | 0.0589 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0005 | 28.0 | 56 | 0.0568 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0002 | 29.0 | 58 | 0.0557 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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+ | 0.0002 | 30.0 | 60 | 0.0553 | 0.8952 | 0.8673 | 0.8952 | 0.8952 |
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  ### Framework versions
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+ - Transformers 4.38.2
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+ - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
config.json CHANGED
@@ -56,7 +56,7 @@
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  },
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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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- "transformers_version": "4.35.2",
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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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  "tie_word_embeddings": false,
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  "torch_dtype": "float32",
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+ "transformers_version": "4.38.2",
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  "use_cache": true,
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  "vocab_size": 32128
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  }
generation_config.json CHANGED
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