Commit
•
dbbbd12
1
Parent(s):
41da7e8
adding model finetuned on XNLI
Browse files- all_results.json +14 -0
- config.json +45 -0
- eval_results.json +9 -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 +829 -0
- training_args.bin +3 -0
all_results.json
ADDED
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{
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"epoch": 2.0,
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"eval_accuracy": 0.8152610441767069,
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"eval_loss": 0.47372516989707947,
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"eval_runtime": 15.7429,
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"eval_samples": 2490,
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"eval_samples_per_second": 158.166,
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"eval_steps_per_second": 9.909,
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"train_loss": 0.4839201732751133,
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"train_runtime": 15881.4239,
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"train_samples": 392702,
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"train_samples_per_second": 49.454,
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"train_steps_per_second": 3.091
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}
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config.json
ADDED
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{
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"_name_or_path": "CenIA/albert_xlarge_spanish",
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"architectures": [
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"AlbertForSequenceClassification"
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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": "xnli",
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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": 2048,
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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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},
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"initializer_range": 0.01,
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"inner_group_num": 1,
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"intermediate_size": 8192,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1,
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"LABEL_2": 2
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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": 32,
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"num_hidden_groups": 1,
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"num_hidden_layers": 24,
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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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"problem_type": "single_label_classification",
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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": 2.0,
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"eval_accuracy": 0.8152610441767069,
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"eval_loss": 0.47372516989707947,
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"eval_runtime": 15.7429,
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"eval_samples": 2490,
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"eval_samples_per_second": 158.166,
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"eval_steps_per_second": 9.909
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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 sha256:63b510b570e3f18c6ba10d005db33368196f677bd128e13ba231c76a4315941d
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size 235451089
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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_xlarge_spanish", "tokenizer_class": "AlbertTokenizer"}
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train_results.json
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{
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"epoch": 2.0,
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"train_loss": 0.4839201732751133,
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"train_runtime": 15881.4239,
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"train_samples": 392702,
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"train_samples_per_second": 49.454,
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"train_steps_per_second": 3.091
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}
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trainer_state.json
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training_args.bin
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@@ -0,0 +1,3 @@
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