training_config.json

{
    "model_name": "intfloat/e5-base-v2",
    "dataset_name": "cardiffnlp/tweet_eval",
    "dataset_subset": "sentiment",
    "num_labels": 3,
    "base_output_dir": "./results",
    "output_dir": "./results/intfloat-e5-base-v2-finetuned-cardiffnlp-tweet_eval-20250902_204812",
    "num_epochs": 2,
    "learning_rate": 2e-05,
    "train_batch_size": 16,
    "eval_batch_size": 32,
    "weight_decay": 0.01,
    "warmup_steps": 500,
    "max_length": 128,
    "seed": 42,
    "eval_steps": 500,
    "save_steps": 500,
    "save_total_limit": 1,
    "load_best_model_at_end": true,
    "metric_for_best_model": "f1",
    "greater_is_better": true,
    "fp16": true,
    "push_to_hub": true,
    "hub_model_id": "e5-base-v2-sentiment-twitter"
}