End of training

README.md

@@ -15,8 +15,8 @@ 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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0429
-- Wer Score: 0.4194
+- Loss: 0.0529
+- Wer Score: 1.4091
 
 ## Model description
 
@@ -48,26 +48,26 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Wer Score |
-|:-------------:|:-----:|:----:|:---------------:|:---------:|
-| 7.3552        | 3.7   | 50   | 4.5162          | 22.5645   |
-| 2.3387        | 7.41  | 100  | 0.4370          | 0.3871    |
-| 0.1271        | 11.11 | 150  | 0.0361          | 0.3871    |
-| 0.0162        | 14.81 | 200  | 0.0361          | 0.4194    |
-| 0.0112        | 18.52 | 250  | 0.0381          | 0.4355    |
-| 0.0098        | 22.22 | 300  | 0.0393          | 0.4355    |
-| 0.0088        | 25.93 | 350  | 0.0399          | 0.4516    |
-| 0.0085        | 29.63 | 400  | 0.0424          | 0.4516    |
-| 0.0076        | 33.33 | 450  | 0.0399          | 0.4194    |
-| 0.007         | 37.04 | 500  | 0.0422          | 0.4516    |
-| 0.0064        | 40.74 | 550  | 0.0421          | 0.4355    |
-| 0.0059        | 44.44 | 600  | 0.0434          | 0.4355    |
-| 0.0056        | 48.15 | 650  | 0.0429          | 0.4194    |
+| Training Loss | Epoch   | Step | Validation Loss | Wer Score |
+|:-------------:|:-------:|:----:|:---------------:|:---------:|
+| 7.3586        | 3.7037  | 50   | 4.5383          | 8.8030    |
+| 2.3507        | 7.4074  | 100  | 0.4544          | 0.4697    |
+| 0.1281        | 11.1111 | 150  | 0.0543          | 0.5152    |
+| 0.0161        | 14.8148 | 200  | 0.0491          | 0.4545    |
+| 0.0115        | 18.5185 | 250  | 0.0501          | 0.4394    |
+| 0.0099        | 22.2222 | 300  | 0.0528          | 0.4697    |
+| 0.0085        | 25.9259 | 350  | 0.0536          | 0.4697    |
+| 0.0075        | 29.6296 | 400  | 0.0532          | 0.4848    |
+| 0.0068        | 33.3333 | 450  | 0.0520          | 0.4697    |
+| 0.0061        | 37.0370 | 500  | 0.0528          | 0.6818    |
+| 0.0054        | 40.7407 | 550  | 0.0530          | 0.8030    |
+| 0.0044        | 44.4444 | 600  | 0.0535          | 1.2121    |
+| 0.0038        | 48.1481 | 650  | 0.0529          | 1.4091    |
 
 
 ### Framework versions
 
-- Transformers 4.38.1
-- Pytorch 2.1.2+cu121
-- Datasets 2.17.1
-- Tokenizers 0.15.2
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

@@ -3,5 +3,5 @@
   "bos_token_id": 101,
   "eos_token_id": 102,
   "pad_token_id": 0,
-  "transformers_version": "4.38.1"
+  "transformers_version": "4.40.2"
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:cf5b35107f877d804d620702a530ffbe255fbded1390a98bd61e9bb3c2b468c6
+oid sha256:f3aad2288d56f9a505849cab51345d09e2021cbc521b6720e7f6f30f6bd28d6b
 size 706516040

runs/May29_17-47-50_mike-ws/events.out.tfevents.1716976072.mike-ws.48.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:489d649abdd79e1dbeeb52c5561cf40979648915a58c1085e78e4999f31b00e4
-size 11285
+oid sha256:177077f4db87c75f6adb942ece20ce21e7a17e95acefb7e0a8fa84920eb601e8
+size 12174