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README.md
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---
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library_name: transformers
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license: cc-by-nc-4.0
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base_model: facebook/timesformer-base-finetuned-k400
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: abcd
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# abcd
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This model is a fine-tuned version of [facebook/timesformer-base-finetuned-k400](https://huggingface.co/facebook/timesformer-base-finetuned-k400) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6989
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- Accuracy: 0.7891
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- training_steps: 552
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:------:|:----:|:---------------:|:--------:|
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| 1.1325 | 0.1685 | 93 | 1.0676 | 0.5568 |
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| 0.738 | 1.1685 | 186 | 1.2091 | 0.5499 |
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| 0.6397 | 2.1685 | 279 | 1.2484 | 0.6116 |
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| 0.4395 | 3.1685 | 372 | 1.0140 | 0.6427 |
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| 0.3098 | 4.1685 | 465 | 0.9757 | 0.6830 |
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| 0.1016 | 5.1576 | 552 | 0.7179 | 0.7589 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu118
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- Datasets 3.3.2
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- Tokenizers 0.21.1
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runs/May03_12-32-43_Hardik/events.out.tfevents.1746322343.Hardik.29964.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:8056a5615db5dc5a42744ea42b32cbe0dadcbc55dbfcfba957d278113d6a9c9b
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size 363
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