Training completed!

README.md

@@ -1,11 +1,9 @@
 ---
+library_name: transformers
 license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
 model-index:
 - name: distilbert-base-uncased-finetuned-emotion
   results: []
@@ -16,11 +14,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-base-uncased-finetuned-emotion
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 1.0909
-- Accuracy: 0.574
-- F1: 0.4872
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 
 ## Model description
 
@@ -47,17 +41,9 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 2
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 1.3652        | 1.0   | 110  | 1.1431          | 0.564    | 0.4801 |
-| 1.1005        | 2.0   | 220  | 1.0909          | 0.574    | 0.4872 |
-
-
 ### Framework versions
 
-- Transformers 4.41.0
-- Pytorch 2.3.0+cu118
-- Datasets 2.19.0
+- Transformers 4.44.2
+- Pytorch 2.4.0+cpu
+- Datasets 2.21.0
 - Tokenizers 0.19.1

config.json

@@ -36,6 +36,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.41.0",
+  "transformers_version": "4.44.2",
   "vocab_size": 30522
 }

model.safetensors

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runs/Aug26_13-46-08_POSEIDON/events.out.tfevents.1724669180.POSEIDON.29292.0

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training_args.bin

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