End of training

README.md

@@ -0,0 +1,73 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: amazon_topical_chat_sentiment
+  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. -->
+
+# amazon_topical_chat_sentiment
+
+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: 1.1237
+- Accuracy: 0.5687
+
+## 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-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 14
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
+|:-------------:|:-----:|:------:|:---------------:|:--------:|
+| 1.199         | 1.0   | 9419   | 1.1807          | 0.5348   |
+| 1.1383        | 2.0   | 18838  | 1.1487          | 0.5457   |
+| 1.1036        | 3.0   | 28257  | 1.1368          | 0.5558   |
+| 1.0971        | 4.0   | 37676  | 1.1226          | 0.5605   |
+| 1.0679        | 5.0   | 47095  | 1.1223          | 0.5634   |
+| 1.0528        | 6.0   | 56514  | 1.1156          | 0.5696   |
+| 1.0245        | 7.0   | 65933  | 1.1158          | 0.5683   |
+| 1.0279        | 8.0   | 75352  | 1.1140          | 0.5687   |
+| 1.0152        | 9.0   | 84771  | 1.1127          | 0.5690   |
+| 0.9794        | 10.0  | 94190  | 1.1179          | 0.5687   |
+| 0.9717        | 11.0  | 103609 | 1.1200          | 0.5700   |
+| 0.9654        | 12.0  | 113028 | 1.1223          | 0.5692   |
+| 0.9703        | 13.0  | 122447 | 1.1232          | 0.5700   |
+| 0.9545        | 14.0  | 131866 | 1.1237          | 0.5687   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.15.0

config.json

@@ -40,6 +40,6 @@
   "sinusoidal_pos_embds": false,
   "tie_weights_": true,
   "torch_dtype": "float32",
-  "transformers_version": "4.35.0",
+  "transformers_version": "4.35.2",
   "vocab_size": 30522
 }

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runs/Nov28_06-50-34_8065d8a0864c/events.out.tfevents.1701154235.8065d8a0864c.322.0

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training_args.bin

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