IvanHahan commited on
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End of training

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Files changed (4) hide show
  1. README.md +5 -5
  2. config.json +1 -0
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -2,14 +2,14 @@
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: outputs
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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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- # outputs
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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@@ -34,12 +34,12 @@ The following hyperparameters were used during training:
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  - train_batch_size: 24
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  - eval_batch_size: 8
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 48
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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_steps: 50
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- - training_steps: 1000
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  - mixed_precision_training: Native AMP
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  ### Training results
 
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: fasterrcnn_clip
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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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+ # fasterrcnn_clip
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  - train_batch_size: 24
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  - eval_batch_size: 8
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  - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 96
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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_steps: 50
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+ - training_steps: 10000
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  - mixed_precision_training: Native AMP
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  ### Training results
config.json CHANGED
@@ -3,6 +3,7 @@
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  "TextCLIP"
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  ],
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  "logit_scale_init_value": 2.6592,
 
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  "projection_dim": 512,
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  "text_model": "google-bert/bert-base-multilingual-uncased",
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  "torch_dtype": "float32",
 
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  "TextCLIP"
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  ],
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  "logit_scale_init_value": 2.6592,
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+ "model_type": "myclip",
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  "projection_dim": 512,
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  "text_model": "google-bert/bert-base-multilingual-uncased",
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  "torch_dtype": "float32",
model.safetensors CHANGED
@@ -1,3 +1,3 @@
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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