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GabsAki
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t5-small-finetuned-scientific-articles

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t5
text2text-generation
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text-generation-inference
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Files changed (6) hide show
  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/May29_02-32-17_dc21b5969f4b/events.out.tfevents.1716949950.dc21b5969f4b.20963.0 +3 -0
  4. runs/May29_02-32-17_dc21b5969f4b/events.out.tfevents.1716950196.dc21b5969f4b.20963.1 +3 -0
  5. tokenizer.json +1 -1
  6. training_args.bin +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ model-index:
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  metrics:
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  - name: Rouge1
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  type: rouge
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- value: 7.724
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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
@@ -33,11 +33,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the scientific_papers dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.2193
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- - Rouge1: 7.724
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- - Rouge2: 2.4363
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- - Rougel: 6.5816
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- - Rougelsum: 7.1778
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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- | 7.4171 | 1.0 | 56 | 5.4323 | 6.503 | 1.9358 | 5.4592 | 5.9976 |
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- | 4.4771 | 2.0 | 112 | 3.8285 | 6.8941 | 2.2332 | 5.8067 | 6.3885 |
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- | 3.7139 | 3.0 | 168 | 3.4540 | 7.6879 | 2.3106 | 6.4302 | 7.1194 |
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- | 3.517 | 4.0 | 224 | 3.3068 | 7.7419 | 2.521 | 6.6036 | 7.1943 |
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- | 3.4113 | 5.0 | 280 | 3.2193 | 7.724 | 2.4363 | 6.5816 | 7.1778 |
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  ### Framework versions
 
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  metrics:
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  - name: Rouge1
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  type: rouge
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+ value: 7.8805
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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
 
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  This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the scientific_papers dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 3.2246
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+ - Rouge1: 7.8805
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+ - Rouge2: 2.622
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+ - Rougel: 6.7327
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+ - Rougelsum: 7.3172
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
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+ | 7.3084 | 1.0 | 56 | 5.4563 | 6.7162 | 2.0525 | 5.6729 | 6.2076 |
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+ | 4.5048 | 2.0 | 112 | 3.8325 | 7.2382 | 2.4034 | 6.1187 | 6.674 |
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+ | 3.7194 | 3.0 | 168 | 3.4523 | 7.7064 | 2.2556 | 6.4334 | 7.1049 |
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+ | 3.5218 | 4.0 | 224 | 3.3173 | 8.1033 | 2.6122 | 6.8396 | 7.4375 |
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+ | 3.4221 | 5.0 | 280 | 3.2246 | 7.8805 | 2.622 | 6.7327 | 7.3172 |
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  ### Framework versions
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