End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/git-base](https://huggingface.co/microsoft/git-base) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0445
-- Wer Score: 18.0
+- Loss: 0.0219
+- Wer Score: 1.2
 
 ## Model description
 
@@ -47,29 +47,32 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine_with_restarts
 - lr_scheduler_warmup_steps: 100
-- num_epochs: 85
+- num_epochs: 100
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Score |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|
-| 6.2279        | 5.0   | 10   | 6.1543          | 39.6      |
-| 6.1401        | 10.0  | 20   | 6.0037          | 39.6      |
-| 5.9375        | 15.0  | 30   | 5.7410          | 39.6      |
-| 5.6234        | 20.0  | 40   | 5.3648          | 39.6      |
-| 5.1982        | 25.0  | 50   | 4.8789          | 39.6      |
-| 4.66          | 30.0  | 60   | 4.2769          | 39.6      |
-| 4.0101        | 35.0  | 70   | 3.5632          | 39.6      |
-| 3.2574        | 40.0  | 80   | 2.7503          | 39.6      |
-| 2.41          | 45.0  | 90   | 1.8801          | 39.6      |
-| 1.5446        | 50.0  | 100  | 1.0544          | 39.6      |
-| 0.7865        | 55.0  | 110  | 0.4589          | 39.2      |
-| 0.33          | 60.0  | 120  | 0.1961          | 19.2      |
-| 0.1347        | 65.0  | 130  | 0.0977          | 24.4      |
-| 0.0623        | 70.0  | 140  | 0.0600          | 22.6      |
-| 0.037         | 75.0  | 150  | 0.0491          | 19.0      |
-| 0.0281        | 80.0  | 160  | 0.0453          | 18.0      |
-| 0.0256        | 85.0  | 170  | 0.0445          | 18.0      |
+| 0.025         | 5.0   | 10   | 0.0412          | 18.6      |
+| 0.0225        | 10.0  | 20   | 0.0377          | 18.8      |
+| 0.0182        | 15.0  | 30   | 0.0377          | 20.6      |
+| 0.0135        | 20.0  | 40   | 0.0337          | 21.2      |
+| 0.0095        | 25.0  | 50   | 0.0314          | 17.0      |
+| 0.0067        | 30.0  | 60   | 0.0256          | 17.0      |
+| 0.0054        | 35.0  | 70   | 0.0177          | 5.8       |
+| 0.006         | 40.0  | 80   | 0.0240          | 37.8      |
+| 0.0063        | 45.0  | 90   | 0.0213          | 0.2       |
+| 0.0032        | 50.0  | 100  | 0.0222          | 1.8       |
+| 0.0021        | 55.0  | 110  | 0.0210          | 1.6       |
+| 0.0015        | 60.0  | 120  | 0.0203          | 2.6       |
+| 0.0012        | 65.0  | 130  | 0.0211          | 1.4       |
+| 0.0011        | 70.0  | 140  | 0.0217          | 1.4       |
+| 0.001         | 75.0  | 150  | 0.0218          | 1.2       |
+| 0.0009        | 80.0  | 160  | 0.0219          | 1.2       |
+| 0.0009        | 85.0  | 170  | 0.0219          | 1.2       |
+| 0.0009        | 90.0  | 180  | 0.0219          | 1.2       |
+| 0.0009        | 95.0  | 190  | 0.0219          | 1.2       |
+| 0.0009        | 100.0 | 200  | 0.0219          | 1.2       |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:92ded82a78322663018eb63e93b2979666be3a827c18a528ed72809e954af320
+oid sha256:00de465fd47adc3d12ef573921d1d994205b0e82240231bc69445fe4bcc88056
 size 706516040

runs/Oct20_19-53-11_bfc8df5d81ba/events.out.tfevents.1729453997.bfc8df5d81ba.209.3

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:94b5ea973ab0170097b7a897453e9e7dee16be3fdcb2aed2266e59372644b12d
-size 15246
+oid sha256:25a3530975cbf475c95e79141c69d389e1dfb479d6c7d97b85b026e80d7a0a88
+size 16135