jmmr-8282
/

llm

Text Classification

Generated from Trainer

text-embeddings-inference

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jmmr-8282 commited on Apr 17

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1 Parent(s): 1281fe1

jmmr-8282/llm

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README.md +7 -7

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@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.2850
 ## Model description
@@ -35,7 +35,7 @@ More information needed
 ### Training hyperparameters
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -48,11 +48,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
-| 1.3748        | 1.0   | 782  | 1.3371          |
-| 1.3346        | 2.0   | 1564 | 1.3119          |
-| 1.3204        | 3.0   | 2346 | 1.2964          |
-| 1.3031        | 4.0   | 3128 | 1.2872          |
-| 1.2987        | 5.0   | 3910 | 1.2850          |
 ### Framework versions

 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.7738
 ## Model description
 ### Training hyperparameters
 The following hyperparameters were used during training:
+- learning_rate: 1e-05
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 | Training Loss | Epoch | Step | Validation Loss |
 |:-------------:|:-----:|:----:|:---------------:|
+| 1.2637        | 1.0   | 782  | 1.0078          |
+| 0.9520        | 2.0   | 1564 | 0.8574          |
+| 0.8983        | 3.0   | 2346 | 0.8017          |
+| 0.8357        | 4.0   | 3128 | 0.7798          |
+| 0.8223        | 5.0   | 3910 | 0.7738          |
 ### Framework versions