End of training

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: t5-small-finetuned-turk-text-simplification
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# t5-small-finetuned-turk-text-simplification
+
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1001
+- Rouge2 Precision: 0.6825
+- Rouge2 Recall: 0.4542
+- Rouge2 Fmeasure: 0.5221
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
+|:-------------:|:-----:|:----:|:---------------:|:----------------:|:-------------:|:---------------:|
+| 0.4318        | 1.0   | 500  | 0.1053          | 0.682            | 0.4533        | 0.5214          |
+| 0.0977        | 2.0   | 1000 | 0.1019          | 0.683            | 0.4545        | 0.5225          |
+| 0.0938        | 3.0   | 1500 | 0.1010          | 0.6828           | 0.4547        | 0.5226          |
+| 0.0916        | 4.0   | 2000 | 0.1003          | 0.6829           | 0.4545        | 0.5225          |
+| 0.0906        | 5.0   | 2500 | 0.1001          | 0.6825           | 0.4542        | 0.5221          |
+
+
+### Framework versions
+
+- Transformers 4.21.3
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8eeb05151ad1909d5d98bedf273684e94af74fb76b6583314bfd637cc3ab709
+oid sha256:e7f9d38fc5bb36422ff71ed663c6b54efb53eb5c789a766fffbae16dcc98434c
 size 242070267

runs/Sep14_19-11-22_63347d0e0665/events.out.tfevents.1663182968.63347d0e0665.69.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:e1e9de2a3956ceb833553075e8e627db5234b417a44a5cdde40e634ef59dced2
-size 5628
+oid sha256:efd5adb452117e88ee9428155fec4dc70af4a09ba20113332c913faf52ea246b
+size 8398