End of training

README.md

@@ -0,0 +1,69 @@
+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: distilbert-base-cased-finetuned-feelings-text-classifier-eng
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# distilbert-base-cased-finetuned-feelings-text-classifier-eng
+
+This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3930
+- Accuracy: 0.9186
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3309        | 1.0   | 564  | 0.2348          | 0.9193   |
+| 0.193         | 2.0   | 1128 | 0.2359          | 0.9226   |
+| 0.1566        | 3.0   | 1692 | 0.2517          | 0.9241   |
+| 0.1275        | 4.0   | 2256 | 0.2629          | 0.9256   |
+| 0.1021        | 5.0   | 2820 | 0.3023          | 0.9219   |
+| 0.0834        | 6.0   | 3384 | 0.3145          | 0.9193   |
+| 0.0679        | 7.0   | 3948 | 0.3338          | 0.9219   |
+| 0.0543        | 8.0   | 4512 | 0.3695          | 0.9194   |
+| 0.0475        | 9.0   | 5076 | 0.3795          | 0.9198   |
+| 0.0389        | 10.0  | 5640 | 0.3930          | 0.9186   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5d8bf68bdfd7615ddc7b005880fa7d516db8a59e325a400c2e23e5ec4f6146c9
+oid sha256:83e37d81cdb79101c751e0156bdef49691806dc78d2ca81689b3c79d2405bac3
 size 267838720