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DiwasDiwas
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t5-small-MedicoSummarizer

Text2Text Generation
Transformers
TensorFlow
TensorBoard
Safetensors
t5
generated_from_keras_callback
Inference Endpoints
text-generation-inference
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End of training

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Files changed (6) hide show
  1. README.md +16 -16
  2. all_results.json +12 -0
  3. model.safetensors +1 -1
  4. runs/Dec10_15-52-19_22fe72abde1e/events.out.tfevents.1702223548.22fe72abde1e.230.0 +3 -0
  5. runs/Dec10_15-52-19_22fe72abde1e/events.out.tfevents.1702230871.22fe72abde1e.230.1 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -17,12 +17,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.8674
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- - Rouge1: 0.2824
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- - Rouge2: 0.0603
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- - Rougel: 0.1909
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- - Rougelsum: 0.2278
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- - Gen Len: 125.174
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  ## Model description
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@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | 3.2933 | 1.0 | 625 | 2.9861 | 0.2922 | 0.0615 | 0.189 | 0.2396 | 119.908 |
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- | 3.1131 | 2.0 | 1250 | 2.9371 | 0.2838 | 0.0608 | 0.1897 | 0.2297 | 122.729 |
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- | 3.0797 | 3.0 | 1875 | 2.9120 | 0.2847 | 0.0599 | 0.1902 | 0.2301 | 123.395 |
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- | 3.032 | 4.0 | 2500 | 2.8990 | 0.2847 | 0.0601 | 0.1908 | 0.2304 | 124.101 |
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- | 3.0193 | 5.0 | 3125 | 2.8898 | 0.2843 | 0.0605 | 0.1904 | 0.2301 | 124.514 |
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- | 3.0112 | 6.0 | 3750 | 2.8794 | 0.2819 | 0.0598 | 0.1891 | 0.2278 | 124.842 |
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- | 2.9916 | 7.0 | 4375 | 2.8742 | 0.2849 | 0.0608 | 0.1915 | 0.2297 | 124.976 |
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- | 2.9848 | 8.0 | 5000 | 2.8715 | 0.2819 | 0.0595 | 0.1903 | 0.2268 | 125.055 |
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- | 2.9758 | 9.0 | 5625 | 2.8666 | 0.2806 | 0.059 | 0.19 | 0.2259 | 125.123 |
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- | 2.9795 | 10.0 | 6250 | 2.8674 | 0.2824 | 0.0603 | 0.1909 | 0.2278 | 125.174 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.9737
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+ - Rouge1: 0.3207
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+ - Rouge2: 0.0752
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+ - Rougel: 0.1949
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+ - Rougelsum: 0.1947
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+ - Gen Len: 122.586
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 3.4289 | 1.0 | 625 | 3.0929 | 0.3181 | 0.0722 | 0.1893 | 0.1893 | 122.637 |
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+ | 3.2654 | 2.0 | 1250 | 3.0531 | 0.3199 | 0.0733 | 0.1915 | 0.1916 | 122.072 |
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+ | 3.2288 | 3.0 | 1875 | 3.0245 | 0.317 | 0.0725 | 0.1917 | 0.1917 | 122.153 |
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+ | 3.178 | 4.0 | 2500 | 3.0097 | 0.3161 | 0.0724 | 0.1907 | 0.1907 | 122.398 |
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+ | 3.16 | 5.0 | 3125 | 2.9940 | 0.3162 | 0.0722 | 0.192 | 0.1918 | 122.114 |
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+ | 3.1517 | 6.0 | 3750 | 2.9869 | 0.3165 | 0.0728 | 0.1928 | 0.1926 | 122.652 |
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+ | 3.1429 | 7.0 | 4375 | 2.9815 | 0.3189 | 0.0741 | 0.1935 | 0.1933 | 122.481 |
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+ | 3.1226 | 8.0 | 5000 | 2.9761 | 0.3195 | 0.0755 | 0.194 | 0.1938 | 122.724 |
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+ | 3.1259 | 9.0 | 5625 | 2.9747 | 0.3208 | 0.0755 | 0.1949 | 0.1947 | 122.551 |
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+ | 3.1151 | 10.0 | 6250 | 2.9737 | 0.3207 | 0.0752 | 0.1949 | 0.1947 | 122.586 |
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  ### Framework versions
all_results.json ADDED
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+ "epoch": 10.0,
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+ "eval_gen_len": 122.586,
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+ "eval_loss": 2.9736835956573486,
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+ "eval_rouge1": 0.3207,
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+ "eval_rouge2": 0.0752,
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+ "eval_rougeL": 0.1949,
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+ "eval_rougeLsum": 0.1947,
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+ "eval_runtime": 175.7454,
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+ "eval_samples_per_second": 5.69,
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+ "eval_steps_per_second": 0.358
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+ }
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