End of training

README.md

@@ -18,8 +18,6 @@ should probably proofread and complete it, then remove this comment. -->
 # speec T5 ES - Abhinay
 
 This model is a fine-tuned version of [microsoft/speecht5_tts](https://huggingface.co/microsoft/speecht5_tts) on the Vox Populi ES dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4349
 
 ## Model description
 
@@ -47,25 +45,9 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
-- training_steps: 1000
+- training_steps: 1200
 - mixed_precision_training: Native AMP
 
-### Training results
-
-| Training Loss | Epoch  | Step | Validation Loss |
-|:-------------:|:------:|:----:|:---------------:|
-| 0.6365        | 0.6820 | 100  | 0.5754          |
-| 0.5663        | 1.3640 | 200  | 0.5159          |
-| 0.5215        | 2.0460 | 300  | 0.4677          |
-| 0.5025        | 2.7280 | 400  | 0.4572          |
-| 0.494         | 3.4101 | 500  | 0.4486          |
-| 0.4867        | 4.0921 | 600  | 0.4454          |
-| 0.4847        | 4.7741 | 700  | 0.4392          |
-| 0.4748        | 5.4561 | 800  | 0.4354          |
-| 0.4695        | 6.1381 | 900  | 0.4336          |
-| 0.4665        | 6.8201 | 1000 | 0.4349          |
-
-
 ### Framework versions
 
 - Transformers 4.40.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f2d9b12dfd4243962feace5ded46f5e1267c924bda0fda1773521e342483c73b
+oid sha256:cf2ef5a61d5774941c9151e1a0130da724271b7c910e2123689e5107a8bf5026
 size 577789320

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d2c1cd38674b6c10524346d4c9e247e35a73deb3b88827a98c66ebb6c6e2401b
+oid sha256:493c3ea30c7cfa9131ecad9725c42edcb0e3a7e07aeefc9bc1ba672e5b598ae9
 size 5176