citation_intent_classification_roberta_dapt

last-checkpoint/config.json

@@ -1,45 +0,0 @@
-{
-  "_name_or_path": "ltuzova/cs_domain_pretrained_model",
-  "architectures": [
-    "RobertaForSequenceClassification"
-  ],
-  "attention_probs_dropout_prob": 0.1,
-  "bos_token_id": 0,
-  "classifier_dropout": 0.1,
-  "eos_token_id": 2,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 768,
-  "id2label": {
-    "0": "Background",
-    "1": "CompareOrContrast",
-    "2": "Uses",
-    "3": "Motivation",
-    "4": "Future",
-    "5": "Extends"
-  },
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
-  "label2id": {
-    "Background": 0,
-    "CompareOrContrast": 1,
-    "Extends": 5,
-    "Future": 4,
-    "Motivation": 3,
-    "Uses": 2
-  },
-  "layer_norm_eps": 1e-05,
-  "max_position_embeddings": 514,
-  "model_type": "roberta",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 12,
-  "num_of_labels": 6,
-  "pad_token_id": 1,
-  "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
-  "torch_dtype": "float32",
-  "transformers_version": "4.30.2",
-  "type_vocab_size": 1,
-  "use_cache": true,
-  "vocab_size": 50265
-}

last-checkpoint/optimizer.pt

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last-checkpoint/pytorch_model.bin

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last-checkpoint/rng_state.pth

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last-checkpoint/special_tokens_map.json

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-{
-  "bos_token": "<s>",
-  "cls_token": "<s>",
-  "eos_token": "</s>",
-  "mask_token": {
-    "content": "<mask>",
-    "lstrip": true,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  },
-  "pad_token": "<pad>",
-  "sep_token": "</s>",
-  "unk_token": "<unk>"
-}

last-checkpoint/tokenizer_config.json

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-{
-  "add_prefix_space": false,
-  "bos_token": "<s>",
-  "clean_up_tokenization_spaces": true,
-  "cls_token": "<s>",
-  "eos_token": "</s>",
-  "errors": "replace",
-  "mask_token": "<mask>",
-  "model_max_length": 512,
-  "pad_token": "<pad>",
-  "sep_token": "</s>",
-  "tokenizer_class": "RobertaTokenizer",
-  "trim_offsets": true,
-  "unk_token": "<unk>"
-}

last-checkpoint/trainer_state.json

@@ -1,32 +0,0 @@
-{
-  "best_metric": 0.11368015414258188,
-  "best_model_checkpoint": "citation_intent_classification_roberta_dapt/checkpoint-105",
-  "epoch": 0.995260663507109,
-  "global_step": 105,
-  "is_hyper_param_search": false,
-  "is_local_process_zero": true,
-  "is_world_process_zero": true,
-  "log_history": [
-    {
-      "epoch": 0.95,
-      "learning_rate": 1.9250253292806485e-05,
-      "loss": 1.6621,
-      "step": 100
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-    {
-      "epoch": 1.0,
-      "eval_accuracy": 0.5175438596491229,
-      "eval_f1_macro": 0.11368015414258188,
-      "eval_loss": 1.507148265838623,
-      "eval_runtime": 0.3222,
-      "eval_samples_per_second": 353.863,
-      "eval_steps_per_second": 24.832,
-      "step": 105
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-  ],
-  "max_steps": 1050,
-  "num_train_epochs": 10,
-  "total_flos": 88083700250400.0,
-  "trial_name": null,
-  "trial_params": null
-}

last-checkpoint/training_args.bin

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runs/Apr21_15-58-29_jupyter/events.out.tfevents.1713715115.jupyter.2714651.0

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last-checkpoint/scheduler.pt → runs/Apr21_15-58-29_jupyter/events.out.tfevents.1713715183.jupyter.2714651.1

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