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flan-t5-base-dialogsum-summarization

Text2Text Generation
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t5
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text-generation-inference
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End of training

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  1. README.md +21 -13
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,6 +3,8 @@ license: apache-2.0
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  base_model: google/flan-t5-base
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: flan-t5-base-dialogsum-summarization
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  results: []
@@ -15,17 +17,12 @@ 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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- - eval_loss: 1.2399
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- - eval_rouge1: 38.7981
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- - eval_rouge2: 14.9183
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- - eval_rougeL: 32.7218
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- - eval_rougeLsum: 34.5266
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- - eval_gen_len: 18.896
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- - eval_runtime: 195.7294
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- - eval_samples_per_second: 7.664
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- - eval_steps_per_second: 0.639
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- - epoch: 1.0
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- - step: 1039
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  ## Model description
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@@ -45,12 +42,23 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-05
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- - train_batch_size: 12
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- - eval_batch_size: 12
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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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  ### Framework versions
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  base_model: google/flan-t5-base
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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:
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  - name: flan-t5-base-dialogsum-summarization
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  results: []
 
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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: 1.2095
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+ - Rouge1: 39.3212
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+ - Rouge2: 15.6335
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+ - Rougel: 33.4773
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+ - Rougelsum: 35.1795
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+ - Gen Len: 18.872
 
 
 
 
 
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 5e-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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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 1.1318 | 1.0 | 1558 | 1.2331 | 39.1301 | 15.2555 | 33.1115 | 35.0288 | 18.868 |
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+ | 1.0483 | 2.0 | 3116 | 1.2095 | 39.3212 | 15.6335 | 33.4773 | 35.1795 | 18.872 |
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+ | 0.9969 | 3.0 | 4674 | 1.2104 | 40.0115 | 16.029 | 34.0364 | 35.8358 | 18.852 |
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+ | 0.9601 | 4.0 | 6232 | 1.2161 | 39.7403 | 15.9708 | 33.8644 | 35.5952 | 18.868 |
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+
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  ### Framework versions
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