Upload 11 files
Browse files- .gitattributes +0 -1
- .gitignore +1 -0
- README.md +94 -0
- all_results.json +16 -0
- config.json +50 -0
- eval_results.json +11 -0
- preprocessor_config.json +17 -0
- pytorch_model.bin +3 -0
- train_results.json +8 -0
- trainer_state.json +385 -0
- training_args.bin +3 -0
.gitattributes
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tar filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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*.safetensors filter=lfs diff=lfs merge=lfs -text
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saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.tar.* filter=lfs diff=lfs merge=lfs -text
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*.tflite filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.wasm filter=lfs diff=lfs merge=lfs -text
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.gitignore
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checkpoint-*/
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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metrics:
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- accuracy
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- f1
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- recall
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- precision
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model-index:
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- name: Brain_Tumor_Classification_using_swin_transformer
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results:
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- task:
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name: Image Classification
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type: image-classification
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dataset:
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name: imagefolder
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type: imagefolder
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config: default
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split: train
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args: default
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.9949179046129789
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- name: F1
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type: f1
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value: 0.9949179046129789
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- name: Recall
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type: recall
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value: 0.9949179046129789
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- name: Precision
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type: precision
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value: 0.9949179046129789
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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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# Brain_Tumor_Classification_using_swin_transformer
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This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224-in22k](https://huggingface.co/microsoft/swin-base-patch4-window7-224-in22k) on the imagefolder dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0118
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- Accuracy: 0.9949
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- F1: 0.9949
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- Recall: 0.9949
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- Precision: 0.9949
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 128
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
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| 0.081 | 1.0 | 180 | 0.0557 | 0.9832 | 0.9832 | 0.9832 | 0.9832 |
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| 0.0816 | 2.0 | 360 | 0.0187 | 0.9937 | 0.9937 | 0.9937 | 0.9937 |
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| 0.0543 | 3.0 | 540 | 0.0118 | 0.9949 | 0.9949 | 0.9949 | 0.9949 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.13.0
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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all_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9949179046129789,
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"eval_f1": 0.9949179046129789,
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"eval_loss": 0.011820005252957344,
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"eval_precision": 0.9949179046129789,
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"eval_recall": 0.9949179046129789,
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"eval_runtime": 465.4885,
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"eval_samples_per_second": 5.495,
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"eval_steps_per_second": 0.172,
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"total_flos": 5.409667845997019e+18,
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"train_loss": 0.1632997931153686,
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"train_runtime": 53634.0894,
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"train_samples_per_second": 1.287,
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"train_steps_per_second": 0.01
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}
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config.json
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{
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"_name_or_path": "microsoft/swin-base-patch4-window7-224-in22k",
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"architectures": [
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"SwinForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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18,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 128,
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"encoder_stride": 32,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "Gliomas Tumor",
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"1": "Meningiomas Tumor",
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"2": "Pituitary Tumor"
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},
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"image_size": 224,
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"initializer_range": 0.02,
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"label2id": {
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"Gliomas Tumor": 0,
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"Meningiomas Tumor": 1,
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"Pituitary Tumor": 2
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 4.0,
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"model_type": "swin",
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"num_channels": 3,
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"num_heads": [
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4,
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8,
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16,
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32
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],
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"num_layers": 4,
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"patch_size": 4,
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"path_norm": true,
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"problem_type": "single_label_classification",
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"qkv_bias": true,
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"torch_dtype": "float32",
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"transformers_version": "4.23.1",
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"use_absolute_embeddings": false,
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"window_size": 7
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_accuracy": 0.9949179046129789,
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"eval_f1": 0.9949179046129789,
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"eval_loss": 0.011820005252957344,
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"eval_precision": 0.9949179046129789,
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"eval_recall": 0.9949179046129789,
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"eval_runtime": 465.4885,
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"eval_samples_per_second": 5.495,
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"eval_steps_per_second": 0.172
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}
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preprocessor_config.json
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{
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"do_normalize": true,
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"do_resize": true,
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"feature_extractor_type": "ViTFeatureExtractor",
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"size": 224
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:466cbd09e38be768754c996c4742a591f662beef1388492319af76c408f0c518
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size 347597585
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train_results.json
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{
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"epoch": 3.0,
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"total_flos": 5.409667845997019e+18,
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"train_loss": 0.1632997931153686,
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"train_runtime": 53634.0894,
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"train_samples_per_second": 1.287,
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"train_steps_per_second": 0.01
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}
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trainer_state.json
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