Model save

README.md

@@ -3,7 +3,6 @@ library_name: transformers
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
-- whisper-event
 - generated_from_trainer
 metrics:
 - wer
@@ -19,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.9993
-- Wer: 99.2606
+- Loss: 2.2254
+- Wer: 106.2847
 
 ## Model description
 
@@ -53,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Wer      |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.9198        | 1.0152 | 1000 | 1.9925          | 100.7394 |
-| 1.1588        | 2.0305 | 2000 | 1.9993          | 99.2606  |
-| 0.4916        | 3.0457 | 3000 | 2.0871          | 103.5120 |
-| 0.1894        | 4.0609 | 4000 | 2.1816          | 102.9575 |
-| 0.072         | 5.0761 | 5000 | 2.2260          | 102.5878 |
+| 1.9269        | 1.0152 | 1000 | 1.9970          | 98.8909  |
+| 1.1741        | 2.0305 | 2000 | 1.9986          | 98.7061  |
+| 0.5248        | 3.0457 | 3000 | 2.0790          | 102.4030 |
+| 0.2094        | 4.0609 | 4000 | 2.1701          | 104.2514 |
+| 0.086         | 5.0761 | 5000 | 2.2254          | 106.2847 |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0448071e9c1aeac9e7260b34514167759b124b56269b31d6280c7e171d0d74e4
+oid sha256:b72013bd61a03f419908047fc1681b4d108999da230bfb275b0cc299cded33ed
 size 966995080

runs/Aug21_17-12-55_DESKTOP-8I5F6JA/events.out.tfevents.1724231620.DESKTOP-8I5F6JA

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8ff8f491c7b6095a489722b0a491385d7356785e8755d18b15fa24fbd832350e
-size 15051
+oid sha256:af1fe72c5fe9ec65aab5e52d22a0e490c5717b156b73bed4b6b7604a2dd51e91
+size 18151