color_descriptions
Browse files- README.md +3 -3
- adapter_model.safetensors +2 -2
- runs/Jul19_14-09-56_ip-172-18-179-228.us-west-2.compute.internal/events.out.tfevents.1721398216.ip-172-18-179-228.us-west-2.compute.internal.4758.4 +3 -0
- runs/Jul19_14-41-40_ip-172-18-179-228.us-west-2.compute.internal/events.out.tfevents.1721400107.ip-172-18-179-228.us-west-2.compute.internal.4758.5 +3 -0
- runs/Jul19_16-45-51_ip-172-18-179-228.us-west-2.compute.internal/events.out.tfevents.1721407557.ip-172-18-179-228.us-west-2.compute.internal.4758.6 +3 -0
- runs/Jul19_17-21-25_ip-172-18-179-228.us-west-2.compute.internal/events.out.tfevents.1721409737.ip-172-18-179-228.us-west-2.compute.internal.4758.7 +3 -0
- runs/Jul19_19-22-06_ip-172-18-179-228.us-west-2.compute.internal/events.out.tfevents.1721417144.ip-172-18-179-228.us-west-2.compute.internal.4758.8 +3 -0
- tokenizer.json +1 -6
- training_args.bin +1 -1
README.md
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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:
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- eval_batch_size: 16
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size:
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs:
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### Training results
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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: 24
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- eval_batch_size: 16
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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: cosine
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 1
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### Training results
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adapter_model.safetensors
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tokenizer.json
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training_args.bin
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