Sam Lowe
commited on
Commit
•
6119ac1
1
Parent(s):
0ee1be3
Adding model files
Browse files- config.json +88 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- trainer_state.json +241 -0
- vocab.json +0 -0
config.json
ADDED
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@@ -0,0 +1,88 @@
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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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| 8 |
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"classifier_dropout": null,
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| 9 |
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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": "admiration",
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"1": "amusement",
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"2": "anger",
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"3": "annoyance",
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"4": "approval",
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"5": "caring",
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"6": "confusion",
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"7": "curiosity",
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"8": "desire",
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"9": "disappointment",
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"10": "disapproval",
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"11": "disgust",
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"12": "embarrassment",
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"13": "excitement",
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"14": "fear",
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"15": "gratitude",
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"16": "grief",
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"17": "joy",
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"18": "love",
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"19": "nervousness",
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"20": "optimism",
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"21": "pride",
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"22": "realization",
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"23": "relief",
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"24": "remorse",
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"25": "sadness",
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"26": "surprise",
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"27": "neutral"
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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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"admiration": 0,
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"amusement": 1,
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"anger": 2,
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"annoyance": 3,
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"approval": 4,
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"caring": 5,
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"confusion": 6,
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"curiosity": 7,
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"desire": 8,
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"disappointment": 9,
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"disapproval": 10,
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"disgust": 11,
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"embarrassment": 12,
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"excitement": 13,
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"fear": 14,
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"gratitude": 15,
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"grief": 16,
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"joy": 17,
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"love": 18,
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"nervousness": 19,
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"neutral": 27,
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"optimism": 20,
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"pride": 21,
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"realization": 22,
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"relief": 23,
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"remorse": 24,
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"sadness": 25,
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"surprise": 26
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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": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.21.3",
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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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merges.txt
ADDED
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The diff for this file is too large to render.
See raw diff
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pytorch_model.bin
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fd088956d38ce7ca956815b0203caf6f29b492b04c22c50d67542b3e02c449d
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size 498740269
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special_tokens_map.json
ADDED
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@@ -0,0 +1,15 @@
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"unk_token": "<unk>"
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}
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tokenizer.json
ADDED
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
ADDED
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@@ -0,0 +1,16 @@
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{
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"add_prefix_space": false,
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"name_or_path": "roberta-base",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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trainer_state.json
ADDED
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@@ -0,0 +1,241 @@
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{
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"best_metric": 0.5862595419847328,
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"best_model_checkpoint": "roberta-base-go_emotions/checkpoint-16281",
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"epoch": 3.0,
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"global_step": 16281,
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| 6 |
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"is_hyper_param_search": false,
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| 7 |
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"is_local_process_zero": true,
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| 8 |
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"is_world_process_zero": true,
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| 9 |
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"log_history": [
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| 10 |
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{
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| 11 |
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"epoch": 0.09,
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| 12 |
+
"learning_rate": 1.9815736134144095e-05,
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| 13 |
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"loss": 0.1826,
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| 14 |
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"step": 500
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},
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| 16 |
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{
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| 17 |
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"epoch": 0.18,
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| 18 |
+
"learning_rate": 1.963147226828819e-05,
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| 19 |
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"loss": 0.1317,
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| 20 |
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"step": 1000
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},
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| 22 |
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{
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| 23 |
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"epoch": 0.28,
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| 24 |
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"learning_rate": 1.9447208402432286e-05,
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| 25 |
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"loss": 0.1146,
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| 26 |
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"step": 1500
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| 27 |
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},
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| 28 |
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{
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| 29 |
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"epoch": 0.37,
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| 30 |
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"learning_rate": 1.9262944536576377e-05,
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| 31 |
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"loss": 0.1078,
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| 32 |
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"step": 2000
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| 33 |
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},
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| 34 |
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{
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| 35 |
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"epoch": 0.46,
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| 36 |
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"learning_rate": 1.9078680670720474e-05,
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| 37 |
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"loss": 0.1006,
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| 38 |
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"step": 2500
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| 39 |
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},
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| 40 |
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{
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| 41 |
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"epoch": 0.55,
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| 42 |
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"learning_rate": 1.8894416804864568e-05,
|
| 43 |
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"loss": 0.0976,
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| 44 |
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"step": 3000
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| 45 |
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},
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| 46 |
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{
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| 47 |
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"epoch": 0.64,
|
| 48 |
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"learning_rate": 1.871015293900866e-05,
|
| 49 |
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"loss": 0.096,
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| 50 |
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"step": 3500
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| 51 |
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},
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| 52 |
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{
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| 53 |
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"epoch": 0.74,
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| 54 |
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"learning_rate": 1.8525889073152755e-05,
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| 55 |
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"loss": 0.0925,
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| 56 |
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"step": 4000
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| 57 |
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},
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| 58 |
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{
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| 59 |
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"epoch": 0.83,
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| 60 |
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"learning_rate": 1.8341625207296852e-05,
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| 61 |
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"loss": 0.0921,
|
| 62 |
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"step": 4500
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| 63 |
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},
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| 64 |
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{
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| 65 |
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"epoch": 0.92,
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| 66 |
+
"learning_rate": 1.8157361341440943e-05,
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| 67 |
+
"loss": 0.0911,
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| 68 |
+
"step": 5000
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| 69 |
+
},
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| 70 |
+
{
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| 71 |
+
"epoch": 1.0,
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| 72 |
+
"eval_accuracy": 0.40213785477331365,
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| 73 |
+
"eval_f1": 0.5346146303196705,
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| 74 |
+
"eval_loss": 0.08816272765398026,
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| 75 |
+
"eval_roc_auc": 0.7098850238721621,
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| 76 |
+
"eval_runtime": 11.8306,
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| 77 |
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"eval_samples_per_second": 458.641,
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| 78 |
+
"eval_steps_per_second": 57.394,
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| 79 |
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"step": 5427
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| 80 |
+
},
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| 81 |
+
{
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| 82 |
+
"epoch": 1.01,
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| 83 |
+
"learning_rate": 1.797309747558504e-05,
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| 84 |
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"loss": 0.0897,
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| 85 |
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"step": 5500
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| 86 |
+
},
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| 87 |
+
{
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| 88 |
+
"epoch": 1.11,
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| 89 |
+
"learning_rate": 1.7788833609729134e-05,
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| 90 |
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"loss": 0.0856,
|
| 91 |
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"step": 6000
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| 92 |
+
},
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| 93 |
+
{
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| 94 |
+
"epoch": 1.2,
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| 95 |
+
"learning_rate": 1.7604569743873227e-05,
|
| 96 |
+
"loss": 0.0816,
|
| 97 |
+
"step": 6500
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