Alex Spangher
commited on
Commit
•
b331134
1
Parent(s):
82aab44
- all_results.json +16 -0
- config.json +54 -0
- model.safetensors +3 -0
- post-training eval_results.json +10 -0
- prediction_output.jsonl +0 -0
- train_results.json +8 -0
- trainer_state.json +54 -0
- training_args.bin +3 -0
all_results.json
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{
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"epoch": 3.0,
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"eval_samples": 2737,
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"test_accuracy": 0.7168432590427475,
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"test_loss": 0.8912712335586548,
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"test_macro_f1": 0.5103889782929176,
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"test_micro_f1": 0.7168432590427475,
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"test_runtime": 5.8747,
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"test_samples_per_second": 465.9,
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"test_steps_per_second": 3.745,
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"train_loss": 0.7604470539181076,
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"train_runtime": 647.9763,
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"train_samples": 23080,
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"train_samples_per_second": 106.856,
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"train_steps_per_second": 3.343
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}
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config.json
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{
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"_name_or_path": "roberta-base",
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"architectures": [
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"RobertaForSequenceClassification"
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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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"classifier_dropout": null,
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"eos_token_id": 2,
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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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"id2label": {
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"0": "Direct Quote",
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"1": "Published Work/Press Report",
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"2": "Court Proceeding",
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"3": "Email/Social Media Post",
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"4": "Proposal/Order/Law",
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"5": "Direct Observation",
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"6": "Other",
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"7": "No Quote",
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"8": "Statement/Public Speech",
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"9": "Background/Narrative",
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"10": "Indirect Quote"
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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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"Background/Narrative": 9,
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"Court Proceeding": 2,
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"Direct Observation": 5,
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"Direct Quote": 0,
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"Email/Social Media Post": 3,
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"Indirect Quote": 10,
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"No Quote": 7,
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"Other": 6,
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"Proposal/Order/Law": 4,
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"Published Work/Press Report": 1,
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"Statement/Public Speech": 8
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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": "roberta",
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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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"torch_dtype": "float32",
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"transformers_version": "4.36.0.dev0",
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"type_vocab_size": 1,
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"use_cache": true,
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"vocab_size": 50265
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9e7bcd3681e3c7e8127e2723af17aa406046af02ebe04c54d9af7e58224acd3
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size 498640508
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post-training eval_results.json
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{
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"eval_samples": 2737,
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"test_accuracy": 0.7168432590427475,
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"test_loss": 0.8912712335586548,
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"test_macro_f1": 0.5103889782929176,
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"test_micro_f1": 0.7168432590427475,
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"test_runtime": 5.8747,
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"test_samples_per_second": 465.9,
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"test_steps_per_second": 3.745
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}
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prediction_output.jsonl
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The diff for this file is too large to render.
See raw diff
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train_results.json
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{
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"epoch": 3.0,
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"train_loss": 0.7604470539181076,
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"train_runtime": 647.9763,
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"train_samples": 23080,
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"train_samples_per_second": 106.856,
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"train_steps_per_second": 3.343
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}
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trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 3.0,
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"eval_steps": 500,
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"global_step": 2166,
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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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"epoch": 0.69,
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"learning_rate": 3.845798707294552e-05,
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"loss": 1.029,
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"step": 500
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},
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{
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"epoch": 1.39,
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"learning_rate": 2.6915974145891044e-05,
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"loss": 0.8087,
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"step": 1000
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},
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{
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"epoch": 2.08,
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"learning_rate": 1.5373961218836565e-05,
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"loss": 0.7124,
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"step": 1500
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},
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{
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"epoch": 2.77,
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"learning_rate": 3.831948291782087e-06,
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"loss": 0.5622,
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"step": 2000
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},
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{
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"epoch": 3.0,
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"step": 2166,
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"total_flos": 2284847800184592.0,
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"train_loss": 0.7604470539181076,
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"train_runtime": 647.9763,
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"train_samples_per_second": 106.856,
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"train_steps_per_second": 3.343
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}
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],
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"logging_steps": 500,
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"max_steps": 2166,
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"num_input_tokens_seen": 0,
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"num_train_epochs": 3,
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"save_steps": 500,
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"total_flos": 2284847800184592.0,
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"train_batch_size": 32,
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"trial_name": null,
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"trial_params": null
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}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:ebd96a87f6ea8cb4b9067f99fa288c2401138faa9da7097c470093e09fa8d196
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size 4728
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