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: 6.8347
-- Wer Score: 36.5683
+- Loss: 6.8345
+- Wer Score: 49.8505
 
 ## Model description
 
@@ -49,15 +49,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer Score |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|
-| 9.5449        | 0.21  | 10   | 8.4043          | 75.6190   |
-| 8.092         | 0.43  | 20   | 7.6198          | 76.5618   |
-| 7.4582        | 0.64  | 30   | 7.1177          | 60.0286   |
-| 7.0634        | 0.85  | 40   | 6.8347          | 36.5683   |
+| 9.5056        | 0.21  | 10   | 8.3847          | 75.6675   |
+| 8.0875        | 0.43  | 20   | 7.6115          | 75.9652   |
+| 7.4568        | 0.64  | 30   | 7.1151          | 69.8376   |
+| 7.0645        | 0.85  | 40   | 6.8345          | 49.8505   |
 
 
 ### Framework versions
 
-- Transformers 4.35.0
-- Pytorch 2.1.0
-- Datasets 2.14.6
-- Tokenizers 0.14.1
+- Transformers 4.38.2
+- Pytorch 2.2.1+cpu
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

@@ -3,5 +3,5 @@
   "bos_token_id": 101,
   "eos_token_id": 102,
   "pad_token_id": 0,
-  "transformers_version": "4.35.0"
+  "transformers_version": "4.38.2"
 }

runs/Mar14_10-38-21_RB-209A-03/events.out.tfevents.1710412702.RB-209A-03.1264.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8d508afb1aa6acc0fa84842b33868a952ec7b1b67e93900edecc0096a28409fb
-size 6885
+oid sha256:a8d9cc4a60e4cad22cc8ad3fe04769adf27fdbcfeeb5fe7d3c9a517502d10516
+size 7233