End of training

README.md

@@ -6,7 +6,7 @@ tags:
 metrics:
 - bleu
 model-index:
-- name: ft-t5-small-on-info-lg-v1
+- name: ft-t5-small-on-info-lg-formal
   results: []
 ---
 
@@ -16,13 +16,14 @@ should probably proofread and complete it, then remove this comment. -->
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/huggingface/runs/ben1m3wk)
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/huggingface/runs/ben1m3wk)
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/huggingface/runs/ben1m3wk)
-# ft-t5-small-on-info-lg-v1
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/asr-africa-research-team/huggingface/runs/ben1m3wk)
+# ft-t5-small-on-info-lg-formal
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the Luganda Proverbs dataset.
+This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the Luganda Formal Data dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5949
-- Bleu: 0.2654
-- Gen Len: 15.9299
+- Loss: 0.1997
+- Bleu: 15.1631
+- Gen Len: 12.3001
 
 ## Model description
 
@@ -47,42 +48,27 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 30
+- num_epochs: 15
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
-| No log        | 1.0   | 177  | 0.5884          | 0.347  | 15.8567 |
-| No log        | 2.0   | 354  | 0.5872          | 0.3173 | 16.4809 |
-| 0.5373        | 3.0   | 531  | 0.5877          | 0.3232 | 16.2389 |
-| 0.5373        | 4.0   | 708  | 0.5878          | 0.3198 | 16.2803 |
-| 0.5373        | 5.0   | 885  | 0.5886          | 0.2831 | 14.465  |
-| 0.5202        | 6.0   | 1062 | 0.5889          | 0.3702 | 15.4076 |
-| 0.5202        | 7.0   | 1239 | 0.5881          | 0.3095 | 16.2325 |
-| 0.5202        | 8.0   | 1416 | 0.5880          | 0.2826 | 15.4045 |
-| 0.5097        | 9.0   | 1593 | 0.5885          | 0.3264 | 15.9236 |
-| 0.5097        | 10.0  | 1770 | 0.5886          | 0.3028 | 14.6592 |
-| 0.5097        | 11.0  | 1947 | 0.5872          | 0.2958 | 15.0064 |
-| 0.4995        | 12.0  | 2124 | 0.5882          | 0.22   | 14.8631 |
-| 0.4995        | 13.0  | 2301 | 0.5876          | 0.2049 | 16.3726 |
-| 0.4995        | 14.0  | 2478 | 0.5878          | 0.2635 | 15.8599 |
-| 0.4921        | 15.0  | 2655 | 0.5892          | 0.3041 | 15.8248 |
-| 0.4921        | 16.0  | 2832 | 0.5881          | 0.2746 | 15.8662 |
-| 0.4838        | 17.0  | 3009 | 0.5909          | 0.2713 | 15.8121 |
-| 0.4838        | 18.0  | 3186 | 0.5902          | 0.2587 | 15.4076 |
-| 0.4838        | 19.0  | 3363 | 0.5917          | 0.3038 | 15.4331 |
-| 0.4788        | 20.0  | 3540 | 0.5931          | 0.2837 | 15.3599 |
-| 0.4788        | 21.0  | 3717 | 0.5930          | 0.306  | 15.0955 |
-| 0.4788        | 22.0  | 3894 | 0.5940          | 0.2973 | 15.7229 |
-| 0.4666        | 23.0  | 4071 | 0.5937          | 0.2458 | 16.0096 |
-| 0.4666        | 24.0  | 4248 | 0.5936          | 0.2781 | 15.7389 |
-| 0.4666        | 25.0  | 4425 | 0.5939          | 0.2998 | 15.5796 |
-| 0.4643        | 26.0  | 4602 | 0.5943          | 0.2782 | 15.7293 |
-| 0.4643        | 27.0  | 4779 | 0.5942          | 0.2685 | 15.5255 |
-| 0.4643        | 28.0  | 4956 | 0.5948          | 0.2687 | 15.6815 |
-| 0.4609        | 29.0  | 5133 | 0.5947          | 0.2658 | 15.9363 |
-| 0.4609        | 30.0  | 5310 | 0.5949          | 0.2654 | 15.9299 |
+| Training Loss | Epoch | Step  | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
+| 0.5515        | 1.0   | 846   | 0.3160          | 1.5468  | 12.8596 |
+| 0.3157        | 2.0   | 1692  | 0.2813          | 3.6176  | 13.2076 |
+| 0.2801        | 3.0   | 2538  | 0.2576          | 5.4512  | 12.9075 |
+| 0.2655        | 4.0   | 3384  | 0.2432          | 7.2817  | 12.6248 |
+| 0.2468        | 5.0   | 4230  | 0.2307          | 8.9484  | 12.6766 |
+| 0.2339        | 6.0   | 5076  | 0.2228          | 10.7122 | 12.475  |
+| 0.225         | 7.0   | 5922  | 0.2165          | 11.5595 | 12.4025 |
+| 0.2152        | 8.0   | 6768  | 0.2119          | 12.6485 | 12.3446 |
+| 0.2094        | 9.0   | 7614  | 0.2079          | 12.9033 | 12.5243 |
+| 0.2053        | 10.0  | 8460  | 0.2048          | 13.9509 | 12.4165 |
+| 0.2019        | 11.0  | 9306  | 0.2033          | 14.4313 | 12.2947 |
+| 0.1975        | 12.0  | 10152 | 0.2014          | 14.6399 | 12.2768 |
+| 0.195         | 13.0  | 10998 | 0.2004          | 14.9622 | 12.3094 |
+| 0.1927        | 14.0  | 11844 | 0.2000          | 14.8282 | 12.3087 |
+| 0.1917        | 15.0  | 12690 | 0.1997          | 15.1631 | 12.3001 |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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