Model save

README.md

@@ -0,0 +1,84 @@
+---
+license: apache-2.0
+base_model: facebook/convnextv2-tiny-1k-224
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: convnextv2-tiny-1k-224-finetuned-two-four
+  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. -->
+
+# convnextv2-tiny-1k-224-finetuned-two-four
+
+This model is a fine-tuned version of [facebook/convnextv2-tiny-1k-224](https://huggingface.co/facebook/convnextv2-tiny-1k-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5662
+- Accuracy: 0.7352
+- F1: 0.7327
+- Precision: 0.7370
+- Recall: 0.7352
+
+## 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: 5e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.6983        | 0.9655  | 14   | 0.6720          | 0.5974   | 0.5694 | 0.6054    | 0.5974 |
+| 0.6804        | 2.0     | 29   | 0.6609          | 0.6324   | 0.6190 | 0.6374    | 0.6324 |
+| 0.6796        | 2.9655  | 43   | 0.6634          | 0.6083   | 0.6084 | 0.6084    | 0.6083 |
+| 0.6886        | 4.0     | 58   | 0.6547          | 0.6171   | 0.6104 | 0.6161    | 0.6171 |
+| 0.6577        | 4.9655  | 72   | 0.6577          | 0.6127   | 0.5724 | 0.6407    | 0.6127 |
+| 0.6439        | 6.0     | 87   | 0.6196          | 0.6477   | 0.6339 | 0.6559    | 0.6477 |
+| 0.602         | 6.9655  | 101  | 0.6125          | 0.6652   | 0.6585 | 0.6986    | 0.6652 |
+| 0.5974        | 8.0     | 116  | 0.6224          | 0.6696   | 0.6601 | 0.7141    | 0.6696 |
+| 0.5841        | 8.9655  | 130  | 0.5800          | 0.7002   | 0.7005 | 0.7011    | 0.7002 |
+| 0.581         | 10.0    | 145  | 0.5822          | 0.7265   | 0.7262 | 0.7262    | 0.7265 |
+| 0.5716        | 10.9655 | 159  | 0.5812          | 0.7068   | 0.7035 | 0.7083    | 0.7068 |
+| 0.5611        | 12.0    | 174  | 0.5778          | 0.7221   | 0.7150 | 0.7319    | 0.7221 |
+| 0.5411        | 12.9655 | 188  | 0.5652          | 0.7352   | 0.7341 | 0.7351    | 0.7352 |
+| 0.5361        | 14.0    | 203  | 0.5670          | 0.7374   | 0.7347 | 0.7395    | 0.7374 |
+| 0.5416        | 14.4828 | 210  | 0.5662          | 0.7352   | 0.7327 | 0.7370    | 0.7352 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7b0fb1dfea57bc40b997448fbc1ea4deb2344ec6e9ec61a9a57442264e84c3a5
+oid sha256:0bd8c4421767f09d8a5d396bc199b7cd99a1c3c96a047080aceeb09a5b69bfe7
 size 111495808

runs/Aug07_19-30-00_b5a50763f646/events.out.tfevents.1723059010.b5a50763f646.813.2

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ad80ff5ca1222ae146cc2c6fc83a3d91676866b9927bd7d5e55e424e2d4ab6be
-size 15937
+oid sha256:bb4ce753d23138cfd449e50f090804f9cf6452c2e33818c5c4853b503d9554be
+size 16763