lilferrit
/

ft-wmt14

Text2Text Generation

Generated from Trainer

Inference Endpoints

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lilferrit commited on May 9

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@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6254
-- Bleu: 26.3346
-- Gen Len: 26.6907
 ## Model description
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch  | Step   | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:------:|:------:|:---------------:|:-------:|:-------:|
-| 2.3103        | 0.0355 | 10000  | 1.8454          | 22.058  | 27.7263 |
-| 2.2141        | 0.0710 | 20000  | 1.7811          | 23.339  | 26.7147 |
-| 2.176         | 0.1065 | 30000  | 1.7361          | 24.3234 | 27.125  |
-| 2.139         | 0.1419 | 40000  | 1.7131          | 25.0888 | 26.8213 |
-| 2.1084        | 0.1774 | 50000  | 1.6874          | 24.9992 | 26.824  |
-| 2.0826        | 0.2129 | 60000  | 1.6685          | 25.7297 | 26.62   |
-| 2.068         | 0.2484 | 70000  | 1.6485          | 25.9031 | 26.685  |
-| 2.05          | 0.2839 | 80000  | 1.6371          | 26.143  | 26.8693 |
-| 2.0331        | 0.3194 | 90000  | 1.6311          | 26.3038 | 26.5183 |
-| 2.0273        | 0.3549 | 100000 | 1.6254          | 26.3346 | 26.6907 |
 ### Framework versions

 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.7469
+- Bleu: 23.6596
+- Gen Len: 27.526
 ## Model description
 | Training Loss | Epoch  | Step   | Validation Loss | Bleu    | Gen Len |
 |:-------------:|:------:|:------:|:---------------:|:-------:|:-------:|
+| 1.7738        | 0.2778 | 10000  | 1.9146          | 20.1598 | 28.1563 |
+| 1.6498        | 0.5556 | 20000  | 1.8550          | 21.4167 | 27.853  |
+| 1.5903        | 0.8333 | 30000  | 1.8277          | 22.604  | 27.7613 |
+| 1.5151        | 1.1111 | 40000  | 1.8128          | 22.1273 | 27.3187 |
+| 1.4866        | 1.3889 | 50000  | 1.7999          | 22.8295 | 27.419  |
+| 1.4696        | 1.6667 | 60000  | 1.7810          | 22.9923 | 27.7387 |
+| 1.4508        | 1.9444 | 70000  | 1.7654          | 23.1046 | 27.7057 |
+| 1.4053        | 2.2222 | 80000  | 1.7587          | 23.5079 | 27.643  |
+| 1.3956        | 2.5    | 90000  | 1.7525          | 23.3848 | 27.6637 |
+| 1.3903        | 2.7778 | 100000 | 1.7469          | 23.6596 | 27.526  |
 ### Framework versions