Training in progress, step 500
Browse files- .gitattributes +2 -0
- README.md +54 -0
- added_tokens.json +3 -0
- all_results.json +15 -0
- config.json +30 -0
- eval_nbest_predictions.json +3 -0
- eval_predictions.json +0 -0
- eval_results.json +6 -0
- finetune_logs.txt +11 -0
- model.safetensors +3 -0
- predict_nbest_predictions.json +3 -0
- predict_predictions.json +0 -0
- predict_results.json +5 -0
- special_tokens_map.json +37 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +62 -0
- train_results.json +9 -0
- trainer_state.json +692 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
.gitattributes
CHANGED
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@@ -33,3 +33,5 @@ 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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*.zst filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst 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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predict_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: mit
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| 3 |
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base_model: Deehan1866/MPS-deberta-v3-base
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tags:
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| 5 |
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- generated_from_trainer
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datasets:
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- PiC/phrase_retrieval
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| 8 |
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model-index:
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| 9 |
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- name: finetuned
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results: []
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| 11 |
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---
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| 12 |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# finetuned
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This model is a fine-tuned version of [Deehan1866/MPS-deberta-v3-base](https://huggingface.co/Deehan1866/MPS-deberta-v3-base) on the PiC/phrase_retrieval PR-pass dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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| 29 |
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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| 38 |
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- train_batch_size: 8
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| 39 |
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- eval_batch_size: 8
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| 40 |
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- seed: 42
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| 41 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 42 |
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- lr_scheduler_type: linear
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| 43 |
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- num_epochs: 2.0
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| 44 |
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### Training results
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### Framework versions
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- Transformers 4.41.2
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| 52 |
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- Pytorch 2.2.1+cu121
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| 53 |
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- Datasets 2.20.0
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| 54 |
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- Tokenizers 0.19.1
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added_tokens.json
ADDED
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@@ -0,0 +1,3 @@
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{
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"[MASK]": 128000
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}
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all_results.json
ADDED
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@@ -0,0 +1,15 @@
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{
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| 2 |
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"epoch": 2.0,
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| 3 |
+
"eval_exact_match": 95.06666666666666,
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| 4 |
+
"eval_f1": 96.62021164021165,
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| 5 |
+
"eval_samples": 3010,
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| 6 |
+
"predict_samples": 5023,
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| 7 |
+
"test_exact_match": 95.52,
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| 8 |
+
"test_f1": 96.68591635610768,
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| 9 |
+
"total_flos": 1.0570689882918912e+16,
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| 10 |
+
"train_loss": 0.2199482326217205,
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| 11 |
+
"train_runtime": 8561.1575,
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| 12 |
+
"train_samples": 20227,
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| 13 |
+
"train_samples_per_second": 4.725,
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| 14 |
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"train_steps_per_second": 0.591
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| 15 |
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}
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config.json
ADDED
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@@ -0,0 +1,30 @@
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{
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"_name_or_path": "Deehan1866/MPS-electra-large",
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| 3 |
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"architectures": [
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"ElectraForQuestionAnswering"
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| 5 |
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],
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| 6 |
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"attention_probs_dropout_prob": 0.1,
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| 7 |
+
"classifier_dropout": null,
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| 8 |
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"embedding_size": 1024,
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| 9 |
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"hidden_act": "gelu",
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| 10 |
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"hidden_dropout_prob": 0.1,
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| 11 |
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"hidden_size": 1024,
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| 12 |
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"initializer_range": 0.02,
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| 13 |
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"intermediate_size": 4096,
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| 14 |
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"layer_norm_eps": 1e-12,
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| 15 |
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"max_position_embeddings": 512,
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| 16 |
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"model_type": "electra",
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| 17 |
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"num_attention_heads": 16,
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| 18 |
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"num_hidden_layers": 24,
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| 19 |
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"pad_token_id": 0,
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| 20 |
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"position_embedding_type": "absolute",
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| 21 |
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"summary_activation": "gelu",
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| 22 |
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"summary_last_dropout": 0.1,
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| 23 |
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"summary_type": "first",
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| 24 |
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"summary_use_proj": true,
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| 25 |
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"torch_dtype": "float32",
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| 26 |
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"transformers_version": "4.41.2",
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| 27 |
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"type_vocab_size": 2,
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| 28 |
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"use_cache": true,
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| 29 |
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"vocab_size": 30522
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}
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eval_nbest_predictions.json
ADDED
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:53b1c2f288c6537326a542cb10075c6ad46f59b333c86733f14b834038440bcd
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| 3 |
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size 18638171
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eval_predictions.json
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The diff for this file is too large to render.
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eval_results.json
ADDED
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{
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| 2 |
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"epoch": 2.0,
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| 3 |
+
"eval_exact_match": 95.06666666666666,
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| 4 |
+
"eval_f1": 96.62021164021165,
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| 5 |
+
"eval_samples": 3010
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| 6 |
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}
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finetune_logs.txt
ADDED
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@@ -0,0 +1,11 @@
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06/28/2024 08:05:50 - WARNING - __main__ - Process rank: 0, device: cuda:0, n_gpu: 1distributed training: True, 16-bits training: False
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{'loss': 1.6243, 'grad_norm': 56.679527282714844, 'learning_rate': 2.9407816818002367e-05, 'epoch': 0.04}
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| 3 |
+
{'eval_exact_match': 84.93333333333334, 'eval_f1': 88.2940084870136, 'epoch': 0.04}
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| 4 |
+
{'loss': 0.6191, 'grad_norm': 5.885100841522217, 'learning_rate': 2.8815633636004737e-05, 'epoch': 0.08}
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| 5 |
+
{'eval_exact_match': 88.6, 'eval_f1': 91.63917534901744, 'epoch': 0.08}
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| 6 |
+
{'loss': 0.4602, 'grad_norm': 26.811798095703125, 'learning_rate': 2.8223450454007107e-05, 'epoch': 0.12}
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| 7 |
+
{'eval_exact_match': 90.93333333333334, 'eval_f1': 93.10548046289217, 'epoch': 0.12}
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| 8 |
+
{'loss': 0.4923, 'grad_norm': 30.7504825592041, 'learning_rate': 2.7631267272009477e-05, 'epoch': 0.16}
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| 9 |
+
{'eval_exact_match': 90.63333333333334, 'eval_f1': 92.85661375661373, 'epoch': 0.16}
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| 10 |
+
{'loss': 0.4052, 'grad_norm': 3.8463761806488037, 'learning_rate': 2.7039084090011843e-05, 'epoch': 0.2}
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| 11 |
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{'eval_exact_match': 90.7, 'eval_f1': 93.16844432942258, 'epoch': 0.2}
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model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:f54471dfee238d35d9b1e479e6f394b44e1d0be49c67d8853d2650875fdc631c
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| 3 |
+
size 1336425336
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predict_nbest_predictions.json
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:9d2b51ff922aad7724e9839cadb223818d27094c49e635e053c2b7df5af79ada
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| 3 |
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size 30747731
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predict_predictions.json
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predict_results.json
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{
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| 2 |
+
"predict_samples": 5023,
|
| 3 |
+
"test_exact_match": 95.52,
|
| 4 |
+
"test_f1": 96.68591635610768
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| 5 |
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}
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special_tokens_map.json
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{
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"cls_token": {
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"content": "[CLS]",
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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"lstrip": false,
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| 12 |
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"normalized": false,
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| 13 |
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"rstrip": false,
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| 14 |
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"single_word": false
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| 15 |
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},
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| 16 |
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"pad_token": {
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| 17 |
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"content": "[PAD]",
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| 18 |
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"lstrip": false,
|
| 19 |
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"normalized": false,
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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| 27 |
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| 28 |
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| 29 |
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},
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| 30 |
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"unk_token": {
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| 31 |
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"content": "[UNK]",
|
| 32 |
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"lstrip": false,
|
| 33 |
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"normalized": false,
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| 34 |
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"rstrip": false,
|
| 35 |
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"single_word": false
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| 36 |
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}
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| 37 |
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}
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spm.model
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
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| 3 |
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size 2464616
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tokenizer.json
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tokenizer_config.json
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{
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| 2 |
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"added_tokens_decoder": {
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| 3 |
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"0": {
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| 4 |
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| 5 |
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|
| 6 |
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| 7 |
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| 8 |
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| 9 |
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"special": true
|
| 10 |
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},
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| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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| 16 |
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| 17 |
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"special": true
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| 18 |
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},
|
| 19 |
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"101": {
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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|
| 24 |
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| 25 |
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|
| 26 |
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},
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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|
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| 33 |
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|
| 34 |
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},
|
| 35 |
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|
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|
| 37 |
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|
| 38 |
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| 39 |
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| 40 |
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|
| 41 |
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"special": true
|
| 42 |
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}
|
| 43 |
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},
|
| 44 |
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"clean_up_tokenization_spaces": true,
|
| 45 |
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"cls_token": "[CLS]",
|
| 46 |
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"do_lower_case": true,
|
| 47 |
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"mask_token": "[MASK]",
|
| 48 |
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"max_length": 512,
|
| 49 |
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"model_max_length": 512,
|
| 50 |
+
"pad_to_multiple_of": null,
|
| 51 |
+
"pad_token": "[PAD]",
|
| 52 |
+
"pad_token_type_id": 0,
|
| 53 |
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"padding_side": "right",
|
| 54 |
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"sep_token": "[SEP]",
|
| 55 |
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"stride": 128,
|
| 56 |
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"strip_accents": null,
|
| 57 |
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"tokenize_chinese_chars": true,
|
| 58 |
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"tokenizer_class": "ElectraTokenizer",
|
| 59 |
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"truncation_side": "right",
|
| 60 |
+
"truncation_strategy": "only_second",
|
| 61 |
+
"unk_token": "[UNK]"
|
| 62 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
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| 1 |
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{
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| 2 |
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"epoch": 2.0,
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| 3 |
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"total_flos": 1.0570689882918912e+16,
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| 4 |
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"train_loss": 0.2199482326217205,
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| 5 |
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"train_runtime": 8561.1575,
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| 6 |
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"train_samples": 20227,
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| 7 |
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"train_samples_per_second": 4.725,
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| 8 |
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"train_steps_per_second": 0.591
|
| 9 |
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}
|
trainer_state.json
ADDED
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@@ -0,0 +1,692 @@
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| 1 |
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