End of training

README.md

@@ -0,0 +1,61 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbertfinetuneHS5E8BHLRVHS
+  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. -->
+
+# distilbertfinetuneHS5E8BHLRVHS
+
+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:
+- Loss: 1.6647
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.7886        | 1.0   | 1000 | 1.5221          |
+| 1.1733        | 2.0   | 2000 | 1.3578          |
+| 0.8003        | 3.0   | 3000 | 1.3842          |
+| 0.5553        | 4.0   | 4000 | 1.5867          |
+| 0.4178        | 5.0   | 5000 | 1.6647          |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

runs/Apr14_10-55-02_c83f25257c98/events.out.tfevents.1713092109.c83f25257c98.2270.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ca7d4b82b6169f073132beef196aac8dbed47f2136ab9653b69d2e778afdb404
-size 7677
+oid sha256:3572a9118528b7baf105842e87ce77a24b07d39f2b47044eb72e094ab0161737
+size 8302