Commit
·
60c5917
1
Parent(s):
c0d12cb
adding model finetuned on MLDoc
Browse files- all_results.json +14 -0
- config.json +46 -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 +256 -0
- training_args.bin +3 -0
all_results.json
ADDED
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{
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"epoch": 4.0,
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"eval_accuracy": 0.9639999866485596,
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"eval_loss": 0.15715740621089935,
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"eval_runtime": 4.3422,
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"eval_samples": 1000,
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"eval_samples_per_second": 230.296,
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"eval_steps_per_second": 14.509,
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"train_loss": 0.07163469533662538,
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"train_runtime": 1355.547,
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"train_samples": 9458,
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"train_samples_per_second": 27.909,
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"train_steps_per_second": 1.747
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}
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config.json
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{
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"_name_or_path": "CenIA/albert_base_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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"gap_size": 0,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0,
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"hidden_size": 768,
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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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},
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 3072,
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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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"LABEL_3": 3
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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": 12,
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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": 4.0,
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"eval_accuracy": 0.9639999866485596,
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"eval_loss": 0.15715740621089935,
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"eval_runtime": 4.3422,
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"eval_samples": 1000,
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"eval_samples_per_second": 230.296,
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"eval_steps_per_second": 14.509
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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 sha256:812cb1e206989fb55fd538abe04b066ffe408ae26ac87a862eec74bebf8e218a
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size 47273681
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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_base_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": 0.07163469533662538,
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"train_runtime": 1355.547,
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"train_samples": 9458,
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"train_samples_per_second": 27.909,
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"train_steps_per_second": 1.747
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}
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trainer_state.json
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{
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"best_metric": 0.15715740621089935,
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"best_model_checkpoint": "/data/jcanete/all_results/mldoc/albeto_base/epochs_4_bs_16_lr_5e-5/checkpoint-1400",
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"epoch": 4.0,
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| 5 |
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"global_step": 2368,
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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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"log_history": [
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{
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| 11 |
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"epoch": 0.17,
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| 12 |
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"eval_accuracy": 0.7229999899864197,
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| 13 |
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"eval_loss": 1.0613000392913818,
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| 14 |
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"eval_runtime": 4.4363,
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| 15 |
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"eval_samples_per_second": 225.412,
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| 16 |
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"eval_steps_per_second": 14.201,
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| 17 |
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"step": 100
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},
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{
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"epoch": 0.34,
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| 21 |
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"eval_accuracy": 0.7990000247955322,
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| 22 |
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"eval_loss": 0.672461748123169,
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"eval_runtime": 4.3549,
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"eval_samples_per_second": 229.626,
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| 25 |
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"eval_steps_per_second": 14.466,
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| 26 |
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"step": 200
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},
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{
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"epoch": 0.51,
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| 30 |
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"eval_accuracy": 0.8479999899864197,
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| 31 |
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"eval_loss": 0.523521900177002,
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| 32 |
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"eval_runtime": 4.3517,
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| 33 |
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"eval_samples_per_second": 229.796,
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| 34 |
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"eval_steps_per_second": 14.477,
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| 35 |
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"step": 300
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},
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| 37 |
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{
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| 38 |
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"epoch": 0.68,
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| 39 |
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"eval_accuracy": 0.8930000066757202,
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| 40 |
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"eval_loss": 0.4281160831451416,
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"eval_runtime": 4.3489,
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| 42 |
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"eval_samples_per_second": 229.946,
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| 43 |
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"eval_steps_per_second": 14.487,
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| 44 |
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"step": 400
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},
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{
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"epoch": 0.84,
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| 48 |
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"learning_rate": 3.94847972972973e-05,
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| 49 |
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"loss": 0.1597,
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"step": 500
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| 51 |
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},
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{
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"epoch": 0.84,
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| 54 |
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"eval_accuracy": 0.9039999842643738,
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"eval_runtime": 4.3451,
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| 59 |
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"step": 500
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},
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{
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| 62 |
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"epoch": 1.01,
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| 63 |
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"eval_accuracy": 0.9020000100135803,
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| 64 |
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"eval_runtime": 4.3435,
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"eval_samples_per_second": 230.229,
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"eval_steps_per_second": 14.504,
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"step": 600
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| 69 |
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},
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| 70 |
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{
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| 71 |
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"epoch": 1.18,
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| 72 |
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"eval_steps_per_second": 14.478,
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| 77 |
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"step": 700
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| 78 |
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},
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| 79 |
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{
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| 80 |
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"epoch": 1.35,
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| 81 |
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"eval_accuracy": 0.9399999976158142,
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| 82 |
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"eval_loss": 0.30127567052841187,
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| 83 |
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"eval_runtime": 4.3657,
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| 84 |
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"eval_samples_per_second": 229.057,
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| 85 |
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"eval_steps_per_second": 14.431,
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| 86 |
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"step": 800
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| 87 |
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},
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| 88 |
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{
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| 89 |
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"epoch": 1.52,
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| 90 |
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"eval_accuracy": 0.949999988079071,
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| 91 |
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"eval_loss": 0.18032802641391754,
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| 92 |
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"eval_runtime": 4.3502,
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| 93 |
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"eval_samples_per_second": 229.873,
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| 94 |
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"eval_steps_per_second": 14.482,
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| 95 |
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"step": 900
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},
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{
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| 98 |
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"epoch": 1.69,
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| 99 |
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"learning_rate": 2.8927364864864863e-05,
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| 100 |
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"loss": 0.0779,
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| 101 |
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"step": 1000
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| 102 |
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},
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{
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| 104 |
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"epoch": 1.69,
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| 105 |
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"eval_accuracy": 0.906000018119812,
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| 106 |
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"eval_loss": 0.4576403498649597,
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"eval_runtime": 4.3481,
|
| 108 |
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"eval_samples_per_second": 229.983,
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| 109 |
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"eval_steps_per_second": 14.489,
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| 110 |
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"step": 1000
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| 111 |
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},
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{
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| 113 |
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"epoch": 1.86,
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| 114 |
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"eval_accuracy": 0.9229999780654907,
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| 115 |
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"eval_loss": 0.30020907521247864,
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| 116 |
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"eval_runtime": 4.3386,
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| 117 |
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"eval_samples_per_second": 230.489,
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:48ba4bc41792dc921e6b818b1569afd0bc40189c659f9aeb1570ac39136e0ced
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| 3 |
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size 2863
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