avsolatorio/doc-topic-model_eval-02_train-00

README.md

@@ -0,0 +1,86 @@
+---
+library_name: transformers
+license: mit
+base_model: microsoft/deberta-v3-small
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: doc-topic-model_eval-02_train-00
+  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. -->
+
+# doc-topic-model_eval-02_train-00
+
+This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0382
+- Accuracy: 0.9879
+- F1: 0.6370
+- Precision: 0.7208
+- Recall: 0.5707
+
+## 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: 4
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:------:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.0929        | 0.4931 | 1000  | 0.0912          | 0.9814   | 0.0    | 0.0       | 0.0    |
+| 0.0785        | 0.9862 | 2000  | 0.0708          | 0.9814   | 0.0    | 0.0       | 0.0    |
+| 0.0622        | 1.4793 | 3000  | 0.0576          | 0.9823   | 0.1109 | 0.8665    | 0.0592 |
+| 0.0542        | 1.9724 | 4000  | 0.0501          | 0.9842   | 0.3406 | 0.7715    | 0.2185 |
+| 0.048         | 2.4655 | 5000  | 0.0461          | 0.9853   | 0.4277 | 0.7762    | 0.2952 |
+| 0.0436        | 2.9586 | 6000  | 0.0434          | 0.9861   | 0.5112 | 0.7463    | 0.3887 |
+| 0.0384        | 3.4517 | 7000  | 0.0414          | 0.9867   | 0.5496 | 0.7437    | 0.4358 |
+| 0.0385        | 3.9448 | 8000  | 0.0402          | 0.9867   | 0.5363 | 0.7625    | 0.4136 |
+| 0.0343        | 4.4379 | 9000  | 0.0396          | 0.9870   | 0.5633 | 0.7528    | 0.4500 |
+| 0.0343        | 4.9310 | 10000 | 0.0388          | 0.9872   | 0.5772 | 0.7528    | 0.4681 |
+| 0.0304        | 5.4241 | 11000 | 0.0388          | 0.9871   | 0.5816 | 0.7349    | 0.4812 |
+| 0.0299        | 5.9172 | 12000 | 0.0374          | 0.9875   | 0.6071 | 0.7340    | 0.5176 |
+| 0.0265        | 6.4103 | 13000 | 0.0377          | 0.9875   | 0.6135 | 0.7213    | 0.5337 |
+| 0.0261        | 6.9034 | 14000 | 0.0372          | 0.9876   | 0.6117 | 0.7383    | 0.5221 |
+| 0.0236        | 7.3964 | 15000 | 0.0377          | 0.9877   | 0.6207 | 0.7257    | 0.5423 |
+| 0.0236        | 7.8895 | 16000 | 0.0377          | 0.9878   | 0.6228 | 0.7376    | 0.5389 |
+| 0.0215        | 8.3826 | 17000 | 0.0379          | 0.9879   | 0.6336 | 0.7236    | 0.5634 |
+| 0.0216        | 8.8757 | 18000 | 0.0382          | 0.9878   | 0.6330 | 0.7212    | 0.5640 |
+| 0.0177        | 9.3688 | 19000 | 0.0382          | 0.9879   | 0.6370 | 0.7208    | 0.5707 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ed7c9ee5f82ea171da9c8e025aacdd000fbbdd156711e258c6b8b5a101cb20dc
+oid sha256:116ad19701dd5f5d25256a2a51f43d15d1202fcb04be6d0cf5615275c8222ed1
 size 567860028