josecannete
commited on
Commit
路
b954871
1
Parent(s):
0cb227d
adding model fine-tuned on QA (TAR)
Browse files- .gitattributes +1 -0
- all_results.json +11 -0
- config.json +33 -0
- eval_nbest_predictions.json +3 -0
- eval_predictions.json +0 -0
- eval_results.json +6 -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 +721 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
@@ -26,3 +26,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zstandard filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
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all_results.json
ADDED
@@ -0,0 +1,11 @@
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{
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"epoch": 4.0,
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+
"eval_exact_match": 59.86754966887417,
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+
"eval_f1": 76.88812735673795,
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+
"eval_samples": 10624,
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+
"train_loss": 1.4025724537610833,
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"train_runtime": 13926.1742,
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"train_samples": 87747,
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"train_samples_per_second": 25.203,
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"train_steps_per_second": 1.575
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}
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config.json
ADDED
@@ -0,0 +1,33 @@
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{
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"_name_or_path": "CenIA/albert_large_spanish",
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"architectures": [
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"AlbertForQuestionAnswering"
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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": 1024,
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 4096,
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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": 16,
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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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"torch_dtype": "float32",
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"transformers_version": "4.15.0",
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"type_vocab_size": 2,
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"vocab_size": 31000
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}
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eval_nbest_predictions.json
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:c1f489b78998a9237dedcb2ac361d0c63fdcbcc5515bc8a749c60930d8d90777
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size 45001705
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eval_predictions.json
ADDED
The diff for this file is too large to render.
See raw diff
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eval_results.json
ADDED
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{
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"epoch": 4.0,
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"eval_exact_match": 59.86754966887417,
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"eval_f1": 76.88812735673795,
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"eval_samples": 10624
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}
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pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:50a3e8d4919a81a800ccacf93903502786b14d615bba1d75724921eb731a07bc
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size 67071895
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special_tokens_map.json
ADDED
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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
ADDED
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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_large_spanish", "tokenizer_class": "AlbertTokenizer"}
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train_results.json
ADDED
@@ -0,0 +1,8 @@
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{
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"epoch": 4.0,
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"train_loss": 1.4025724537610833,
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+
"train_runtime": 13926.1742,
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"train_samples": 87747,
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"train_samples_per_second": 25.203,
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"train_steps_per_second": 1.575
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}
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trainer_state.json
ADDED
@@ -0,0 +1,721 @@
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{
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"best_metric": 76.88812735673795,
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"best_model_checkpoint": "/data/jcanete/all_results/tar/albeto_large/epochs_4_bs_16_lr_5e-6/checkpoint-15600",
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"epoch": 3.99990883398669,
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"global_step": 21936,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 0.05,
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"eval_exact_match": 41.7123935666982,
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"eval_f1": 60.29401087357971,
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"step": 300
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},
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{
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"epoch": 0.09,
|
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"learning_rate": 4.887171772428884e-06,
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"loss": 2.7603,
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"step": 500
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},
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{
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"epoch": 0.11,
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"eval_exact_match": 47.88079470198676,
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"eval_f1": 66.39084020086572,
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"step": 600
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},
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{
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"epoch": 0.16,
|
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"eval_exact_match": 50.52034058656575,
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"eval_f1": 68.74096558529118,
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"step": 900
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},
|
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{
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35 |
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"epoch": 0.18,
|
36 |
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"learning_rate": 4.773203865791394e-06,
|
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"loss": 1.9271,
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"step": 1000
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},
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{
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"epoch": 0.22,
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"eval_exact_match": 50.91769157994324,
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"eval_f1": 70.11766866179605,
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"step": 1200
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},
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{
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"epoch": 0.27,
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training_args.bin
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@@ -0,0 +1,3 @@
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