lazymonster
/

adaptation_raw

Text Classification

Generated from Trainer

text-embeddings-inference

Model card Files Files and versions

lazymonster commited on Dec 2, 2025

Commit

840d3f4

·

verified ·

1 Parent(s): 569155d

End of training

Files changed (2) hide show

README.md +8 -9
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [lazymonster/20k-combined-raw-scratch](https://huggingface.co/lazymonster/20k-combined-raw-scratch) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0416
-- Accuracy: 0.7032
-- F1 Macro: 0.7014
-- Composite Score: 0.7014
 ## Model description
@@ -47,7 +47,7 @@ The following hyperparameters were used during training:
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 5
 - mixed_precision_training: Native AMP
 - label_smoothing_factor: 0.1
@@ -55,10 +55,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Composite Score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|
-| No log        | 1.0   | 333  | 1.0077          | 0.6983   | 0.6972   | 0.6972          |
-| 0.4543        | 2.0   | 666  | 1.0178          | 0.7036   | 0.7026   | 0.7026          |
-| 0.4543        | 3.0   | 999  | 1.0483          | 0.7002   | 0.6988   | 0.6988          |
-| 0.4392        | 4.0   | 1332 | 1.0416          | 0.7032   | 0.7014   | 0.7014          |
 ### Framework versions

 This model is a fine-tuned version of [lazymonster/20k-combined-raw-scratch](https://huggingface.co/lazymonster/20k-combined-raw-scratch) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 1.0500
+- Accuracy: 0.6927
+- F1 Macro: 0.6910
+- Composite Score: 0.6910
 ## Model description
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
 - mixed_precision_training: Native AMP
 - label_smoothing_factor: 0.1
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Composite Score |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:---------------:|
+| No log        | 1.0   | 333  | 0.9757          | 0.7029   | 0.7017   | 0.7017          |
+| 0.4584        | 2.0   | 666  | 1.0121          | 0.6980   | 0.6965   | 0.6965          |
+| 0.4584        | 3.0   | 999  | 1.0500          | 0.6927   | 0.6910   | 0.6910          |
 ### Framework versions

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:592502fdb64904d1ad677d1c67d3c3f6fc0be5615455fbfeb7c85e0f696fb877
 size 64520532

 version https://git-lfs.github.com/spec/v1
+oid sha256:360f1180706b3c35f59c6ca1c290397ad85cea036f4bd474b4ec2f9282998e4b
 size 64520532