metadata
library_name: transformers
license: apache-2.0
base_model: facebook/detr-resnet-50
tags:
- generated_from_trainer
model-index:
- name: chickens-60
results: []
chickens-60
This model is a fine-tuned version of facebook/detr-resnet-50 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2476
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 60
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2826 | 1.0 | 497 | 1.1718 |
| 1.0565 | 2.0 | 994 | 0.9496 |
| 0.8699 | 3.0 | 1491 | 0.8140 |
| 0.9199 | 4.0 | 1988 | 0.7631 |
| 0.7011 | 5.0 | 2485 | 0.6355 |
| 0.7246 | 6.0 | 2982 | 0.6444 |
| 0.5952 | 7.0 | 3479 | 0.5118 |
| 0.5584 | 8.0 | 3976 | 0.4591 |
| 0.4884 | 9.0 | 4473 | 0.4302 |
| 0.4804 | 10.0 | 4970 | 0.4176 |
| 0.4511 | 11.0 | 5467 | 0.3914 |
| 0.4124 | 12.0 | 5964 | 0.3830 |
| 0.4182 | 13.0 | 6461 | 0.3754 |
| 0.4103 | 14.0 | 6958 | 0.3583 |
| 0.4037 | 15.0 | 7455 | 0.3451 |
| 0.3983 | 16.0 | 7952 | 0.3453 |
| 0.3606 | 17.0 | 8449 | 0.3426 |
| 0.3885 | 18.0 | 8946 | 0.3436 |
| 0.3713 | 19.0 | 9443 | 0.3321 |
| 0.339 | 20.0 | 9940 | 0.3199 |
| 0.3345 | 21.0 | 10437 | 0.3119 |
| 0.3215 | 22.0 | 10934 | 0.3189 |
| 0.353 | 23.0 | 11431 | 0.3031 |
| 0.338 | 24.0 | 11928 | 0.3152 |
| 0.3183 | 25.0 | 12425 | 0.3113 |
| 0.3219 | 26.0 | 12922 | 0.2882 |
| 0.3128 | 27.0 | 13419 | 0.2872 |
| 0.3032 | 28.0 | 13916 | 0.2876 |
| 0.3129 | 29.0 | 14413 | 0.2835 |
| 0.3062 | 30.0 | 14910 | 0.2832 |
| 0.3214 | 31.0 | 15407 | 0.2668 |
| 0.2891 | 32.0 | 15904 | 0.2838 |
| 0.297 | 33.0 | 16401 | 0.2756 |
| 0.296 | 34.0 | 16898 | 0.2753 |
| 0.2882 | 35.0 | 17395 | 0.2706 |
| 0.2704 | 36.0 | 17892 | 0.2644 |
| 0.2709 | 37.0 | 18389 | 0.2643 |
| 0.2852 | 38.0 | 18886 | 0.2640 |
| 0.259 | 39.0 | 19383 | 0.2698 |
| 0.276 | 40.0 | 19880 | 0.2602 |
| 0.2867 | 41.0 | 20377 | 0.2499 |
| 0.2986 | 42.0 | 20874 | 0.2672 |
| 0.2577 | 43.0 | 21371 | 0.2577 |
| 0.2583 | 44.0 | 21868 | 0.2487 |
| 0.2599 | 45.0 | 22365 | 0.2570 |
| 0.2498 | 46.0 | 22862 | 0.2529 |
| 0.2496 | 47.0 | 23359 | 0.2522 |
| 0.2596 | 48.0 | 23856 | 0.2568 |
| 0.2352 | 49.0 | 24353 | 0.2525 |
| 0.2552 | 50.0 | 24850 | 0.2452 |
| 0.2428 | 51.0 | 25347 | 0.2496 |
| 0.2538 | 52.0 | 25844 | 0.2483 |
| 0.2657 | 53.0 | 26341 | 0.2510 |
| 0.2532 | 54.0 | 26838 | 0.2510 |
| 0.2412 | 55.0 | 27335 | 0.2485 |
| 0.2822 | 56.0 | 27832 | 0.2491 |
| 0.2694 | 57.0 | 28329 | 0.2482 |
| 0.249 | 58.0 | 28826 | 0.2479 |
| 0.2408 | 59.0 | 29323 | 0.2477 |
| 0.2345 | 60.0 | 29820 | 0.2476 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 2.19.2
- Tokenizers 0.20.0