End of training

README.md

@@ -4,8 +4,6 @@ license: mit
 base_model: lengocquangLAB/t5-small-tags-extraction-800
 tags:
 - generated_from_trainer
-metrics:
-- rouge
 model-index:
 - name: t5-small-tags-extraction-800
   results: []
@@ -17,13 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-small-tags-extraction-800
 
 This model is a fine-tuned version of [lengocquangLAB/t5-small-tags-extraction-800](https://huggingface.co/lengocquangLAB/t5-small-tags-extraction-800) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.2091
-- Rouge1: 0.7354
-- Rouge2: 0.4651
-- Rougel: 0.4624
-- Rougelsum: 0.4624
-- Gen Len: 72.325
 
 ## Model description
 
@@ -51,13 +42,6 @@ The following hyperparameters were used during training:
 - num_epochs: 1
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
-|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
-| 0.6951        | 1.0   | 11894 | 2.2091          | 0.7354 | 0.4651 | 0.4624 | 0.4624    | 72.325  |
-
-
 ### Framework versions
 
 - Transformers 4.46.3

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:6bfbf1090cba45408d50d6a7d28c7f920970e19e32277dea8cf78a8e4d6d986c
 size 903834408