End of training
Browse files- last-checkpoint/config.json +0 -61
- last-checkpoint/optimizer.pt +0 -3
- last-checkpoint/pytorch_model.bin +0 -3
- last-checkpoint/rng_state.pth +0 -3
- last-checkpoint/scheduler.pt +0 -3
- last-checkpoint/trainer_state.json +0 -41
- last-checkpoint/training_args.bin +0 -3
- pytorch_model.bin +1 -1
- runs/Sep17_23-40-14_823777eea855/events.out.tfevents.1663458401.823777eea855.76.0 +2 -2
last-checkpoint/config.json
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{
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"_name_or_path": "ydmeira/beit-finetuned-pokemon",
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"architectures": [
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"BeitForSemanticSegmentation"
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],
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"attention_probs_dropout_prob": 0.0,
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"auxiliary_channels": 256,
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"auxiliary_concat_input": false,
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"auxiliary_loss_weight": 0.4,
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"auxiliary_num_convs": 1,
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"drop_path_rate": 0.1,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 768,
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"id2label": {
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"0": "background",
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"1": "pokemon"
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},
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"image_size": 640,
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"background": 0,
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"pokemon": 1
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},
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"layer_norm_eps": 1e-12,
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"layer_scale_init_value": 0.1,
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"model_type": "beit",
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"num_attention_heads": 12,
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"num_channels": 3,
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"num_hidden_layers": 12,
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"out_indices": [
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],
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"patch_size": 16,
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"pool_scales": [
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"segmentation_indices": [
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],
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"semantic_loss_ignore_index": 255,
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"torch_dtype": "float32",
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"transformers_version": "4.22.1",
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"use_absolute_position_embeddings": false,
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"use_auxiliary_head": true,
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"use_mask_token": false,
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"use_mean_pooling": true,
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"use_relative_position_bias": true,
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"use_shared_relative_position_bias": false,
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"vocab_size": 8192
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}
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last-checkpoint/optimizer.pt
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last-checkpoint/pytorch_model.bin
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last-checkpoint/rng_state.pth
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last-checkpoint/scheduler.pt
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last-checkpoint/trainer_state.json
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{
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"best_metric": 0.034728746861219406,
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"best_model_checkpoint": "drive/MyDrive/beit-finetuned-pokemon/checkpoint-1000",
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"epoch": 0.21326508850501172,
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"global_step": 1000,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"learning_rate": 5.573469822989977e-05,
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"loss": 0.0354,
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"step": 1000
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{
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"epoch": 0.21,
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"eval_loss": 0.034728746861219406,
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"eval_mean_accuracy": 0.9955007125868244,
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"eval_mean_iou": 0.4977503562934122,
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"eval_overall_accuracy": 0.9955007125868244,
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"eval_per_category_accuracy": [
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"eval_runtime": 568.0728,
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"eval_samples_per_second": 0.38,
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"eval_steps_per_second": 0.19,
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"step": 1000
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}
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],
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"max_steps": 14067,
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"num_train_epochs": 3,
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"total_flos": 2.4073096200192e+18,
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}
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last-checkpoint/training_args.bin
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pytorch_model.bin
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runs/Sep17_23-40-14_823777eea855/events.out.tfevents.1663458401.823777eea855.76.0
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