Instructions to use Shaer-AI/ARBERT-base-submeter-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shaer-AI/ARBERT-base-submeter-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Shaer-AI/ARBERT-base-submeter-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier") model = AutoModelForSequenceClassification.from_pretrained("Shaer-AI/ARBERT-base-submeter-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 500, checkpoint
Browse files- last-checkpoint/config.json +88 -0
- last-checkpoint/model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scaler.pt +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +7 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +58 -0
- last-checkpoint/trainer_state.json +52 -0
- last-checkpoint/training_args.bin +3 -0
- last-checkpoint/vocab.txt +0 -0
last-checkpoint/config.json
ADDED
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{
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"directionality": "bidi",
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| 8 |
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"dtype": "float32",
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| 9 |
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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| 11 |
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"hidden_dropout_prob": 0.1,
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| 12 |
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"hidden_size": 768,
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| 13 |
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"id2label": {
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| 14 |
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"0": "baseet complete",
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"1": "baseet mukhala",
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"2": "hazaj majzuu",
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"3": "kamel ahuth",
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"4": "kamel complete",
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"5": "kamel majzuu",
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"6": "khafif complete",
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"7": "khafif majzuu",
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| 22 |
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"8": "madeed majzuu",
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"9": "mudari majzuu",
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"10": "mujtath majzuu",
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"11": "munsarih complete",
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"12": "muqtadab majzuu",
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"13": "mutadarak complete",
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"14": "mutadarak mashture",
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"15": "mutaqarib complete",
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"16": "rajaz complete",
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"17": "rajaz majzuu",
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"18": "rajaz mashture",
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"19": "ramel complete",
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"20": "ramel majzuu",
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"21": "saree complete",
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"22": "taweel complete",
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"23": "wafer complete",
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"24": "wafer majzuu"
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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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| 43 |
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"baseet complete": 0,
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| 44 |
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"baseet mukhala": 1,
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"hazaj majzuu": 2,
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"kamel ahuth": 3,
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"kamel complete": 4,
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"kamel majzuu": 5,
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"khafif complete": 6,
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"khafif majzuu": 7,
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"madeed majzuu": 8,
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"mudari majzuu": 9,
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"mujtath majzuu": 10,
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| 54 |
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"munsarih complete": 11,
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"muqtadab majzuu": 12,
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"mutadarak complete": 13,
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"mutadarak mashture": 14,
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"mutaqarib complete": 15,
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"rajaz complete": 16,
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| 60 |
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"rajaz majzuu": 17,
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"rajaz mashture": 18,
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"ramel complete": 19,
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"ramel majzuu": 20,
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"saree complete": 21,
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| 65 |
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"taweel complete": 22,
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"wafer complete": 23,
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| 67 |
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"wafer majzuu": 24
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},
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| 69 |
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"layer_norm_eps": 1e-12,
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| 70 |
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"max_position_embeddings": 512,
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| 71 |
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"model_type": "bert",
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| 72 |
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"num_attention_heads": 12,
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| 73 |
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"num_hidden_layers": 12,
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| 74 |
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"pad_token_id": 0,
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| 75 |
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"pooler_fc_size": 768,
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| 76 |
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"pooler_num_attention_heads": 12,
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| 77 |
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"pooler_num_fc_layers": 3,
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| 78 |
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"pooler_size_per_head": 128,
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| 79 |
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"pooler_type": "first_token_transform",
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"position_embedding_type": "absolute",
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| 81 |
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"problem_type": "single_label_classification",
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"submeter_input_format": "first_hemistich S second_hemistich",
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"submeter_missing_second_marker": "E",
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| 84 |
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"transformers_version": "4.57.6",
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| 85 |
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"type_vocab_size": 2,
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| 86 |
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"use_cache": true,
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"vocab_size": 100000
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}
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last-checkpoint/model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:89dd239cb7939bd9844fcceac25e185b07aa9fed51dd7ec0057d407e6a00fe31
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size 651465828
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last-checkpoint/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:418f05c51bade664d3943f331ed8f561ee678e4fbf9554acd527a820b0deae4d
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size 1303053067
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last-checkpoint/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ef702cf5950b1f0c810bc9b544e0aaf73ce3dca2eb24db9e77e742da94cb9341
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size 14645
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last-checkpoint/scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:f77569c2e850b04af982cc8c1389f1430851448915c593b69e5da36ce05b71d7
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size 1383
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last-checkpoint/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:da218e627961cb498ff5a95d62676f19d811740f288365b7675bc65108eef972
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size 1465
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last-checkpoint/special_tokens_map.json
ADDED
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{
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"cls_token": "[CLS]",
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| 3 |
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"mask_token": "[MASK]",
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| 4 |
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"pad_token": "[PAD]",
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| 5 |
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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last-checkpoint/tokenizer.json
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last-checkpoint/tokenizer_config.json
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{
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| 2 |
+
"added_tokens_decoder": {
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| 3 |
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"0": {
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| 4 |
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"content": "[PAD]",
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| 5 |
+
"lstrip": false,
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| 6 |
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"normalized": false,
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| 7 |
+
"rstrip": false,
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| 8 |
+
"single_word": false,
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| 9 |
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"special": true
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| 10 |
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},
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| 11 |
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"1": {
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| 12 |
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"content": "[UNK]",
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| 13 |
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"lstrip": false,
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| 14 |
+
"normalized": false,
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| 15 |
+
"rstrip": false,
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| 16 |
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"single_word": false,
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| 17 |
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"special": true
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| 18 |
+
},
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| 19 |
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"2": {
|
| 20 |
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"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
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| 22 |
+
"normalized": false,
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| 23 |
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"rstrip": false,
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| 24 |
+
"single_word": false,
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| 25 |
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"special": true
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| 26 |
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},
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| 27 |
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"3": {
|
| 28 |
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"content": "[SEP]",
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| 29 |
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"lstrip": false,
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| 30 |
+
"normalized": false,
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| 31 |
+
"rstrip": false,
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| 32 |
+
"single_word": false,
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| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"4": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
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| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": true,
|
| 45 |
+
"cls_token": "[CLS]",
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| 46 |
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"do_basic_tokenize": true,
|
| 47 |
+
"do_lower_case": true,
|
| 48 |
+
"extra_special_tokens": {},
|
| 49 |
+
"mask_token": "[MASK]",
|
| 50 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 51 |
+
"never_split": null,
|
| 52 |
+
"pad_token": "[PAD]",
|
| 53 |
+
"sep_token": "[SEP]",
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| 54 |
+
"strip_accents": null,
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| 55 |
+
"tokenize_chinese_chars": true,
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| 56 |
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"tokenizer_class": "BertTokenizer",
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| 57 |
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"unk_token": "[UNK]"
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| 58 |
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}
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last-checkpoint/trainer_state.json
ADDED
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@@ -0,0 +1,52 @@
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{
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| 2 |
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"best_global_step": 500,
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| 3 |
+
"best_metric": 0.765245945945946,
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| 4 |
+
"best_model_checkpoint": "/kaggle/working/arbert_submeter_training/checkpoints/checkpoint-500",
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| 5 |
+
"epoch": 0.08648274669203494,
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| 6 |
+
"eval_steps": 500,
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| 7 |
+
"global_step": 500,
|
| 8 |
+
"is_hyper_param_search": false,
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| 9 |
+
"is_local_process_zero": true,
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| 10 |
+
"is_world_process_zero": true,
|
| 11 |
+
"log_history": [
|
| 12 |
+
{
|
| 13 |
+
"epoch": 0.08648274669203494,
|
| 14 |
+
"grad_norm": 25.747224807739258,
|
| 15 |
+
"learning_rate": 4.856162804104693e-05,
|
| 16 |
+
"loss": 1.2986,
|
| 17 |
+
"step": 500
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"epoch": 0.08648274669203494,
|
| 21 |
+
"eval_accuracy": 0.765245945945946,
|
| 22 |
+
"eval_loss": 0.756655216217041,
|
| 23 |
+
"eval_macro_f1": 0.2987486877044399,
|
| 24 |
+
"eval_runtime": 418.3804,
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| 25 |
+
"eval_samples_per_second": 884.363,
|
| 26 |
+
"eval_steps_per_second": 3.456,
|
| 27 |
+
"eval_weighted_f1": 0.7565798837380349,
|
| 28 |
+
"step": 500
|
| 29 |
+
}
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| 30 |
+
],
|
| 31 |
+
"logging_steps": 500,
|
| 32 |
+
"max_steps": 17346,
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| 33 |
+
"num_input_tokens_seen": 0,
|
| 34 |
+
"num_train_epochs": 3,
|
| 35 |
+
"save_steps": 500,
|
| 36 |
+
"stateful_callbacks": {
|
| 37 |
+
"TrainerControl": {
|
| 38 |
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"args": {
|
| 39 |
+
"should_epoch_stop": false,
|
| 40 |
+
"should_evaluate": false,
|
| 41 |
+
"should_log": false,
|
| 42 |
+
"should_save": true,
|
| 43 |
+
"should_training_stop": false
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| 44 |
+
},
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| 45 |
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"attributes": {}
|
| 46 |
+
}
|
| 47 |
+
},
|
| 48 |
+
"total_flos": 2105323118592000.0,
|
| 49 |
+
"train_batch_size": 128,
|
| 50 |
+
"trial_name": null,
|
| 51 |
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"trial_params": null
|
| 52 |
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}
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last-checkpoint/training_args.bin
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:b72ba77cf4a8bdc54f108081b7aa5eea8cd135da46fb18b1892aa6c935c428c2
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size 5969
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last-checkpoint/vocab.txt
ADDED
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