Training in progress epoch 0

README.md

@@ -15,9 +15,9 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.7278
-- Validation Loss: 2.0301
-- Epoch: 2
+- Train Loss: 3.5815
+- Validation Loss: 2.2338
+- Epoch: 0
 
 ## Model description
 
@@ -43,14 +43,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 3.3829     | 2.3105          | 0     |
-| 1.9727     | 2.0301          | 1     |
-| 1.7278     | 2.0301          | 2     |
+| 3.5815     | 2.2338          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
+- Transformers 4.38.2
 - TensorFlow 2.15.0
-- Datasets 2.16.1
-- Tokenizers 0.15.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

@@ -18,6 +18,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.35.2",
+  "transformers_version": "4.38.2",
   "vocab_size": 30522
 }

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:556484b15a0b6398f1fe0b04b09fa532f3c993dfea476b79661f67c6c3705910
+oid sha256:20605b71502f0e8650b64ced58f2d86f5780ba18628ee4b3d0093c9c8b4fc2b7
 size 265583592