End of training
Browse files- all_results.json +16 -0
- eval_model_config.json +40 -0
- eval_results.json +11 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
all_results.json
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{
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"epoch": 12.0,
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"eval_accuracy": 0.8970588235294118,
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"eval_combined_score": 0.9114269382664727,
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"eval_f1": 0.9257950530035336,
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"eval_loss": 0.38710883259773254,
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"eval_runtime": 10.2395,
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"eval_samples": 408,
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"eval_samples_per_second": 39.846,
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"eval_steps_per_second": 2.539,
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"train_loss": 0.13981886300810045,
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"train_runtime": 2408.1272,
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"train_samples": 3668,
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"train_samples_per_second": 18.278,
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"train_steps_per_second": 1.146
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}
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eval_model_config.json
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{
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"_name_or_path": "vuiseng9/baseline-ft-mrpc-IRoberta-b-unquantized",
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"architectures": [
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"IBertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"finetuning_task": "mrpc",
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"force_dequant": "none",
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"hweff_logexp_softmax_cfg": null,
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"id2label": {
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"0": 0,
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"1": 1
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"0": 0,
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"1": 1
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},
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 514,
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"model_type": "ibert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"quant_mode": true,
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"quant_mode_actfunc": true,
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"tokenizer_class": "RobertaTokenizer",
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"torch_dtype": "float32",
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"transformers_version": "4.30.2",
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"type_vocab_size": 1,
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"vocab_size": 50265
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}
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eval_results.json
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{
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"epoch": 12.0,
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"eval_accuracy": 0.8970588235294118,
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"eval_combined_score": 0.9114269382664727,
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"eval_f1": 0.9257950530035336,
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"eval_loss": 0.38710883259773254,
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"eval_runtime": 10.2395,
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"eval_samples": 408,
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"eval_samples_per_second": 39.846,
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"eval_steps_per_second": 2.539
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}
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train_results.json
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{
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"epoch": 12.0,
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"train_loss": 0.13981886300810045,
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"train_runtime": 2408.1272,
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"train_samples": 3668,
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"train_samples_per_second": 18.278,
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"train_steps_per_second": 1.146
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}
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trainer_state.json
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