Model save

README.md

@@ -0,0 +1,72 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+model-index:
+- name: mvit_v1_b_transf_b_rwf2000
+  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. -->
+
+# mvit_v1_b_transf_b_rwf2000
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6217
+- Accuracy: 0.6438
+- F1: 0.6436
+- Precision: 0.6440
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- training_steps: 1900
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|
+| 0.6792        | 0.1   | 190  | 0.6958          | 0.5188   | 0.4813 | 0.5264    |
+| 0.8474        | 1.1   | 380  | 0.6944          | 0.5375   | 0.5033 | 0.5518    |
+| 0.5868        | 2.1   | 570  | 0.6470          | 0.6      | 0.5999 | 0.6001    |
+| 0.5824        | 3.1   | 760  | 0.6253          | 0.6438   | 0.6316 | 0.6655    |
+| 0.5159        | 4.1   | 950  | 0.6435          | 0.5375   | 0.5302 | 0.54      |
+| 0.7413        | 5.1   | 1140 | 0.6032          | 0.5875   | 0.5859 | 0.5889    |
+| 0.6496        | 6.1   | 1330 | 0.6309          | 0.6875   | 0.6776 | 0.7137    |
+| 0.556         | 7.1   | 1520 | 0.6101          | 0.6375   | 0.6361 | 0.6397    |
+| 0.5141        | 8.1   | 1710 | 0.6295          | 0.6562   | 0.6561 | 0.6565    |
+| 0.5481        | 9.1   | 1900 | 0.6217          | 0.6438   | 0.6436 | 0.6440    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.21.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:66b0ee07ec9112d249c8fa8b4ea40530c285726d048eedee78222c16f4a10221
+oid sha256:c3b83a6bb35803d3acf9199a558b638737ecf041f3374a9fdf0e0303ab0caad5
 size 146681160