Commit
路
6939b09
1
Parent(s):
2918e9e
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 +367 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -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
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@@ -0,0 +1,11 @@
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{
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"epoch": 2.0,
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"eval_exact_match": 59.90539262062441,
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+
"eval_f1": 76.76435031260894,
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| 5 |
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"eval_samples": 10624,
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"train_loss": 1.442597626205347,
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| 7 |
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"train_runtime": 4244.9763,
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| 8 |
+
"train_samples": 87747,
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| 9 |
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"train_samples_per_second": 41.342,
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"train_steps_per_second": 2.584
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}
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config.json
ADDED
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@@ -0,0 +1,33 @@
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{
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"_name_or_path": "CenIA/albert_base_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": 768,
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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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"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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"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
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version https://git-lfs.github.com/spec/v1
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oid sha256:a60603bd31a8e072b247749097f5f596ba085440872d9e81bc4d921f79706af7
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size 44945824
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eval_predictions.json
ADDED
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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": 2.0,
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"eval_exact_match": 59.90539262062441,
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"eval_f1": 76.76435031260894,
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"eval_samples": 10624
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}
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pytorch_model.bin
ADDED
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+
version https://git-lfs.github.com/spec/v1
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+
oid sha256:33f1de9a5db4c6cb63b5147fa43f39b820d5b32416d3ee3c6f9328cba245a1fe
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+
size 44904343
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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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The diff for this file is too large to render.
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tokenizer_config.json
ADDED
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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
ADDED
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@@ -0,0 +1,8 @@
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{
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"epoch": 2.0,
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"train_loss": 1.442597626205347,
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+
"train_runtime": 4244.9763,
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"train_samples": 87747,
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"train_samples_per_second": 41.342,
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"train_steps_per_second": 2.584
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}
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trainer_state.json
ADDED
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@@ -0,0 +1,367 @@
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+
{
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"best_metric": 76.76435031260894,
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"best_model_checkpoint": "/data/jcanete/all_results/tar/albeto_base/epochs_2_bs_16_lr_5e-5/checkpoint-10800",
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| 4 |
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"epoch": 2.0,
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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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"step": 300
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{
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"learning_rate": 4.774840474020055e-05,
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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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"step": 600
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{
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"epoch": 0.16,
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"eval_exact_match": 51.76915799432356,
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"step": 900
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},
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{
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"epoch": 0.18,
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"learning_rate": 4.546946216955333e-05,
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"loss": 1.8459,
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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_f1": 71.48528779698195,
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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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"learning_rate": 4.319051959890611e-05,
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"loss": 1.7369,
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"step": 1500
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},
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{
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"epoch": 0.27,
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"eval_exact_match": 53.15042573320719,
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"step": 1500
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},
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{
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"epoch": 0.33,
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"step": 1800
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},
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{
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"epoch": 0.36,
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"learning_rate": 4.091157702825889e-05,
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"loss": 1.6887,
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"step": 2000
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},
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{
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"epoch": 0.38,
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"eval_exact_match": 55.45884578997162,
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"eval_f1": 73.42042430837174,
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"step": 2100
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training_args.bin
ADDED
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@@ -0,0 +1,3 @@
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