End of training

README.md

@@ -3,6 +3,11 @@ license: apache-2.0
 base_model: distilbert-base-cased
 tags:
 - generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
 model-index:
 - name: distilbert-maccrobat
   results: []
@@ -14,6 +19,12 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-maccrobat
 
 This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7475
+- Precision: 0.5070
+- Recall: 0.5725
+- F1: 0.5377
+- Accuracy: 0.7903
 
 ## Model description
 
@@ -40,6 +51,22 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: cosine
 - num_epochs: 10
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 45   | 1.5295          | 0.2627    | 0.0223 | 0.0411 | 0.6639   |
+| No log        | 2.0   | 90   | 1.2463          | 0.3241    | 0.2831 | 0.3022 | 0.6845   |
+| No log        | 3.0   | 135  | 1.0915          | 0.3560    | 0.4052 | 0.3790 | 0.7005   |
+| No log        | 4.0   | 180  | 0.9411          | 0.5225    | 0.3180 | 0.3954 | 0.7428   |
+| No log        | 5.0   | 225  | 0.8653          | 0.4437    | 0.5304 | 0.4832 | 0.7580   |
+| No log        | 6.0   | 270  | 0.7936          | 0.4913    | 0.5362 | 0.5128 | 0.7798   |
+| No log        | 7.0   | 315  | 0.7715          | 0.4974    | 0.5623 | 0.5279 | 0.7840   |
+| No log        | 8.0   | 360  | 0.7545          | 0.5083    | 0.5601 | 0.5329 | 0.7880   |
+| No log        | 9.0   | 405  | 0.7464          | 0.5125    | 0.5694 | 0.5395 | 0.7921   |
+| No log        | 10.0  | 450  | 0.7475          | 0.5070    | 0.5725 | 0.5377 | 0.7903   |
+
+
 ### Framework versions
 
 - Transformers 4.35.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6810621177ce2ffb3c4805ddcae2aa2c25043f0ddc8a896c7022fb71bd2490aa
+oid sha256:fb523b97715234b9b8619369921f850055acdbf7631c240b0d6082a9e5127e04
 size 261028224

runs/Dec20_18-32-36_1ab27b13a8f3/events.out.tfevents.1703097161.1ab27b13a8f3.142.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7b73fbcf6b7bc7ca0291a5360a86b959167e04e818cfa49c714a4c62eedd8676
-size 4184
+oid sha256:463d07fbfc61a12d968c2ff37ded64dd99dc18845a41e9c9b7bab87575552b6d
+size 7606

runs/Dec20_18-36-41_1ab27b13a8f3/events.out.tfevents.1703097418.1ab27b13a8f3.40990.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4020bc583705a186fe9eed25766508eac0abfbe5d986c65f75991040ed8316ff
+size 12623

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f4e321e3c87dee1205609411eb5f7b204df7e71dfdd36511655a30b51d3b08ad
+oid sha256:6fbad28342dd701e7cc40e7e0ea32eedb390c8c63b252c04a479cd736fc0b8f8
 size 4600