End of training

README.md

@@ -14,7 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6660
+- Loss: 0.0501
 
 ## Model description
 
@@ -44,18 +44,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| 1.0053        | 1.0   | 512  | 0.8043          |
-| 0.8263        | 2.0   | 1024 | 0.7319          |
-| 0.7641        | 3.0   | 1536 | 0.6908          |
-| 0.7303        | 4.0   | 2048 | 0.6738          |
-| 0.7174        | 5.0   | 2560 | 0.6644          |
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.1075        | 1.0   | 3301  | 0.0635          |
+| 0.0658        | 2.0   | 6602  | 0.0561          |
+| 0.0589        | 3.0   | 9903  | 0.0534          |
+| 0.0555        | 4.0   | 13204 | 0.0513          |
+| 0.0534        | 5.0   | 16505 | 0.0498          |
 
 
 ### Framework versions
 
-- Transformers 4.37.2
+- Transformers 4.38.2
 - Pytorch 2.0.1
-- Datasets 2.16.1
-- Tokenizers 0.15.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

@@ -1,5 +1,5 @@
 {
   "_from_model_config": true,
   "pad_token_id": 0,
-  "transformers_version": "4.37.2"
+  "transformers_version": "4.38.2"
 }