josecannete
commited on
Commit
•
1e49772
1
Parent(s):
6977fc9
adding model finetuned on POS
Browse files- all_results.json +17 -0
- config.json +74 -0
- eval_results.json +12 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +271 -0
- training_args.bin +3 -0
all_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9747039189441047,
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"eval_f1": 0.9728139460666986,
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"eval_loss": 0.08749764412641525,
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"eval_precision": 0.9711674399155732,
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"eval_recall": 0.9744660446344728,
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"eval_runtime": 1.5052,
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"eval_samples": 1654,
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"eval_samples_per_second": 1098.84,
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"eval_steps_per_second": 69.093,
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"train_loss": 0.09274842659188383,
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"train_runtime": 230.8308,
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"train_samples": 14305,
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"train_samples_per_second": 247.887,
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"train_steps_per_second": 15.509
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}
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config.json
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{
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"_name_or_path": "CenIA/albert_tiny_spanish",
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"architectures": [
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"AlbertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"finetuning_task": "pos",
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"gap_size": 0,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0,
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"hidden_size": 312,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1",
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"2": "LABEL_2",
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"3": "LABEL_3",
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"4": "LABEL_4",
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"5": "LABEL_5",
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"6": "LABEL_6",
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"7": "LABEL_7",
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"8": "LABEL_8",
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"9": "LABEL_9",
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"10": "LABEL_10",
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"11": "LABEL_11",
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"12": "LABEL_12",
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"13": "LABEL_13",
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"14": "LABEL_14",
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"15": "LABEL_15",
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"16": "LABEL_16",
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"17": "LABEL_17"
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},
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 1248,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_10": 10,
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"LABEL_11": 11,
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"LABEL_12": 12,
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"LABEL_13": 13,
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"LABEL_14": 14,
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"LABEL_15": 15,
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"LABEL_16": 16,
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"LABEL_17": 17,
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"LABEL_2": 2,
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"LABEL_3": 3,
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"LABEL_4": 4,
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"LABEL_5": 5,
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"LABEL_6": 6,
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"LABEL_7": 7,
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"LABEL_8": 8,
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"LABEL_9": 9
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 12,
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"num_hidden_groups": 1,
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"num_hidden_layers": 4,
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"num_memory_blocks": 0,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"torch_dtype": "float32",
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"transformers_version": "4.12.5",
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"type_vocab_size": 2,
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"vocab_size": 31000
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}
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eval_results.json
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9747039189441047,
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"eval_f1": 0.9728139460666986,
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"eval_loss": 0.08749764412641525,
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"eval_precision": 0.9711674399155732,
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"eval_recall": 0.9744660446344728,
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"eval_runtime": 1.5052,
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"eval_samples": 1654,
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"eval_samples_per_second": 1098.84,
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"eval_steps_per_second": 69.093
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:717d7386c720680fcad0d4b754a1ac5ca06b3bda824639c2bde37f8769b2c880
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size 21022551
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special_tokens_map.json
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{"bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{"do_lower_case": true, "remove_space": true, "keep_accents": true, "bos_token": "[CLS]", "eos_token": "[SEP]", "unk_token": "<unk>", "sep_token": "[SEP]", "pad_token": "<pad>", "cls_token": "[CLS]", "mask_token": {"content": "[MASK]", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "CenIA/albert_tiny_spanish", "tokenizer_class": "AlbertTokenizer"}
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train_results.json
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{
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"epoch": 4.0,
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"train_loss": 0.09274842659188383,
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"train_runtime": 230.8308,
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"train_samples": 14305,
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"train_samples_per_second": 247.887,
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"train_steps_per_second": 15.509
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}
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trainer_state.json
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{
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"best_metric": 0.08749764412641525,
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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