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qaharoldv1-expediaexp1

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t5
text2text-generation
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text-generation-inference
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qaharoldv1-expediaexp1

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  1. README.md +24 -24
  2. model.safetensors +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ 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: 0.4137
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- - Rouge1: 0.8301
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- - Rouge2: 0.6844
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- - Rougel: 0.8106
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  - Gen Len: 71.1
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  ## Model description
@@ -52,27 +52,27 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:-------:|
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- | No log | 0.48 | 100 | 0.5590 | 0.7686 | 0.5673 | 0.7352 | 71.1 |
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- | No log | 0.95 | 200 | 0.4939 | 0.7915 | 0.6072 | 0.7613 | 71.1 |
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- | No log | 1.43 | 300 | 0.4513 | 0.8006 | 0.6186 | 0.7707 | 71.1 |
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- | No log | 1.9 | 400 | 0.4188 | 0.8073 | 0.6416 | 0.7839 | 71.1 |
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- | No log | 2.38 | 500 | 0.4230 | 0.8124 | 0.6549 | 0.7911 | 71.1 |
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- | No log | 2.86 | 600 | 0.4149 | 0.8183 | 0.6679 | 0.8012 | 71.1 |
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- | No log | 3.33 | 700 | 0.4090 | 0.8153 | 0.6575 | 0.796 | 71.1 |
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- | No log | 3.81 | 800 | 0.4066 | 0.8233 | 0.6644 | 0.8011 | 71.1 |
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- | No log | 4.29 | 900 | 0.4030 | 0.8251 | 0.6681 | 0.8023 | 71.1 |
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- | No log | 4.76 | 1000 | 0.4037 | 0.821 | 0.6731 | 0.8033 | 71.1 |
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- | No log | 5.24 | 1100 | 0.4066 | 0.8192 | 0.6662 | 0.8002 | 71.1 |
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- | No log | 5.71 | 1200 | 0.4065 | 0.8244 | 0.666 | 0.8023 | 71.1 |
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- | No log | 6.19 | 1300 | 0.4216 | 0.8279 | 0.6854 | 0.8104 | 71.1 |
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- | No log | 6.67 | 1400 | 0.3972 | 0.8317 | 0.6869 | 0.8128 | 71.1 |
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- | No log | 7.14 | 1500 | 0.4047 | 0.8296 | 0.684 | 0.8113 | 71.1 |
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- | No log | 7.62 | 1600 | 0.4083 | 0.8292 | 0.6858 | 0.8111 | 71.1 |
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- | No log | 8.1 | 1700 | 0.4071 | 0.8301 | 0.683 | 0.8093 | 71.1 |
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- | No log | 8.57 | 1800 | 0.4080 | 0.8305 | 0.6865 | 0.8114 | 71.1 |
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- | No log | 9.05 | 1900 | 0.4098 | 0.8307 | 0.6863 | 0.8111 | 71.1 |
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- | No log | 9.52 | 2000 | 0.4145 | 0.8295 | 0.6838 | 0.81 | 71.1 |
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- | No log | 10.0 | 2100 | 0.4137 | 0.8301 | 0.6844 | 0.8106 | 71.1 |
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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: 0.4137
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+ - Rouge1: 0.8305
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+ - Rouge2: 0.6845
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+ - Rougel: 0.8105
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  - Gen Len: 71.1
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  ## Model description
 
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:-------:|
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+ | No log | 0.48 | 100 | 0.5590 | 0.7684 | 0.5676 | 0.7355 | 71.1 |
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+ | No log | 0.95 | 200 | 0.4939 | 0.7921 | 0.6073 | 0.7614 | 71.1 |
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+ | No log | 1.43 | 300 | 0.4513 | 0.8005 | 0.6189 | 0.7711 | 71.1 |
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+ | No log | 1.9 | 400 | 0.4188 | 0.8075 | 0.6419 | 0.7838 | 71.1 |
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+ | No log | 2.38 | 500 | 0.4230 | 0.8123 | 0.6549 | 0.7912 | 71.1 |
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+ | No log | 2.86 | 600 | 0.4149 | 0.8186 | 0.6678 | 0.8013 | 71.1 |
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+ | No log | 3.33 | 700 | 0.4090 | 0.8155 | 0.6574 | 0.796 | 71.1 |
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+ | No log | 3.81 | 800 | 0.4066 | 0.8238 | 0.6643 | 0.8009 | 71.1 |
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+ | No log | 4.29 | 900 | 0.4030 | 0.8253 | 0.668 | 0.8024 | 71.1 |
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+ | No log | 4.76 | 1000 | 0.4037 | 0.8211 | 0.6729 | 0.8034 | 71.1 |
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+ | No log | 5.24 | 1100 | 0.4066 | 0.8199 | 0.6662 | 0.8003 | 71.1 |
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+ | No log | 5.71 | 1200 | 0.4065 | 0.8249 | 0.666 | 0.8024 | 71.1 |
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+ | No log | 6.19 | 1300 | 0.4216 | 0.828 | 0.6858 | 0.8105 | 71.1 |
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+ | No log | 6.67 | 1400 | 0.3972 | 0.8318 | 0.6869 | 0.8129 | 71.1 |
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+ | No log | 7.14 | 1500 | 0.4047 | 0.8297 | 0.6839 | 0.8111 | 71.1 |
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+ | No log | 7.62 | 1600 | 0.4083 | 0.8294 | 0.6859 | 0.811 | 71.1 |
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+ | No log | 8.1 | 1700 | 0.4071 | 0.8305 | 0.6831 | 0.8094 | 71.1 |
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+ | No log | 8.57 | 1800 | 0.4080 | 0.8307 | 0.6868 | 0.8115 | 71.1 |
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+ | No log | 9.05 | 1900 | 0.4098 | 0.831 | 0.6864 | 0.8111 | 71.1 |
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+ | No log | 9.52 | 2000 | 0.4145 | 0.8299 | 0.6838 | 0.8099 | 71.1 |
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+ | No log | 10.0 | 2100 | 0.4137 | 0.8305 | 0.6845 | 0.8105 | 71.1 |
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  ### Framework versions
model.safetensors CHANGED
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