Training in progress epoch 0

README.md

@@ -14,9 +14,9 @@ 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: 0.0347
-- Validation Loss: 0.0593
-- Epoch: 2
+- Train Loss: 0.1989
+- Validation Loss: 0.0726
+- Epoch: 0
 
 ## Model description
 
@@ -42,14 +42,12 @@ The following hyperparameters were used during training:
 
 | Train Loss | Validation Loss | Epoch |
 |:----------:|:---------------:|:-----:|
-| 0.1962     | 0.0729          | 0     |
-| 0.0539     | 0.0596          | 1     |
-| 0.0347     | 0.0593          | 2     |
+| 0.1989     | 0.0726          | 0     |
 
 
 ### Framework versions
 
-- Transformers 4.15.0.dev0
-- TensorFlow 2.6.0
-- Datasets 1.16.2.dev0
-- Tokenizers 0.10.3
+- Transformers 4.16.0.dev0
+- TensorFlow 2.8.0-rc0
+- Datasets 1.17.0
+- Tokenizers 0.11.0

config.json

@@ -40,6 +40,6 @@
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
-  "transformers_version": "4.15.0.dev0",
+  "transformers_version": "4.16.0.dev0",
   "vocab_size": 30522
 }

logs/train/events.out.tfevents.1643134288.matt-TRX40-AORUS-PRO-WIFI.95224.0.v2

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logs/validation/events.out.tfevents.1643134324.matt-TRX40-AORUS-PRO-WIFI.95224.1.v2

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tf_model.h5

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