chakochen
/

mt5-destination-inference

text2text-generation

Generated from Trainer

Inference Endpoints

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chakochen commited on Sep 27, 2023

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@@ -18,11 +18,11 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 6.6964
-- Rouge1: 0.0
 - Rouge2: 0.0
-- Rougel: 0.0
-- Rougelsum: 0.0
 ## Model description
@@ -53,14 +53,14 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
-| 22.6841       | 1.0   | 125  | 10.6306         | 0.0703 | 0.0    | 0.0703 | 0.0703    |
-| 15.0485       | 2.0   | 250  | 8.4524          | 0.3398 | 0.0    | 0.3398 | 0.3398    |
-| 11.3726       | 3.0   | 375  | 7.4365          | 0.0    | 0.0    | 0.0    | 0.0       |
-| 8.9705        | 4.0   | 500  | 6.5795          | 0.0    | 0.0    | 0.0    | 0.0       |
-| 7.6846        | 5.0   | 625  | 6.3153          | 0.0    | 0.0    | 0.0    | 0.0       |
-| 6.8562        | 6.0   | 750  | 6.5050          | 0.0    | 0.0    | 0.0    | 0.0       |
-| 6.4222        | 7.0   | 875  | 6.6475          | 0.0    | 0.0    | 0.0    | 0.0       |
-| 6.3944        | 8.0   | 1000 | 6.6964          | 0.0    | 0.0    | 0.0    | 0.0       |
 ### Framework versions

 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 5.5749
+- Rouge1: 0.1757
 - Rouge2: 0.0
+- Rougel: 0.1757
+- Rougelsum: 0.1757
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
+| 20.4559       | 1.0   | 250  | 8.6810          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 9.5672        | 2.0   | 500  | 5.4642          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 6.3205        | 3.0   | 750  | 5.6638          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 5.3432        | 4.0   | 1000 | 5.6325          | 0.1757 | 0.0    | 0.1757 | 0.1757    |
+| 4.9042        | 5.0   | 1250 | 5.6978          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 4.6882        | 6.0   | 1500 | 5.6566          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 4.538         | 7.0   | 1750 | 5.5962          | 0.0    | 0.0    | 0.0    | 0.0       |
+| 4.4857        | 8.0   | 2000 | 5.5749          | 0.1757 | 0.0    | 0.1757 | 0.1757    |
 ### Framework versions