salbatarni
commited on
Commit
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1120910
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Parent(s):
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Training in progress, step 65
Browse files- README.md +90 -0
- config.json +33 -0
- model.safetensors +3 -0
- runs/Aug22_09-38-15_4a91f28c1eab/events.out.tfevents.1724319507.4a91f28c1eab.34.0 +3 -0
- runs/Aug22_09-43-32_4a91f28c1eab/events.out.tfevents.1724319813.4a91f28c1eab.34.1 +3 -0
- runs/Aug22_09-48-51_4a91f28c1eab/events.out.tfevents.1724320132.4a91f28c1eab.34.2 +3 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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base_model: google-bert/bert-base-cased
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tags:
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- generated_from_trainer
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model-index:
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- name: bert_baseline_prompt_adherence_task3_fold1
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results: []
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---
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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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# bert_baseline_prompt_adherence_task3_fold1
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This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3953
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- Qwk: 0.5713
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- Mse: 0.3957
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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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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 16
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|
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| No log | 0.0308 | 2 | 1.5468 | 0.0 | 1.5470 |
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| No log | 0.0615 | 4 | 0.9894 | 0.0062 | 0.9899 |
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| No log | 0.0923 | 6 | 0.7177 | 0.1308 | 0.7184 |
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| No log | 0.1231 | 8 | 0.5962 | 0.0090 | 0.5969 |
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| No log | 0.1538 | 10 | 0.5955 | 0.0030 | 0.5963 |
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| No log | 0.1846 | 12 | 0.5747 | 0.1211 | 0.5755 |
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| No log | 0.2154 | 14 | 0.5424 | 0.0335 | 0.5431 |
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| No log | 0.2462 | 16 | 0.5193 | 0.0423 | 0.5200 |
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| No log | 0.2769 | 18 | 0.4807 | 0.1237 | 0.4815 |
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| No log | 0.3077 | 20 | 0.4729 | 0.2731 | 0.4737 |
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| No log | 0.3385 | 22 | 0.4694 | 0.4293 | 0.4701 |
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| No log | 0.3692 | 24 | 0.4429 | 0.4729 | 0.4436 |
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| No log | 0.4 | 26 | 0.4262 | 0.4577 | 0.4267 |
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| No log | 0.4308 | 28 | 0.4314 | 0.4855 | 0.4319 |
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| No log | 0.4615 | 30 | 0.4305 | 0.5004 | 0.4309 |
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| No log | 0.4923 | 32 | 0.4624 | 0.5260 | 0.4629 |
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| No log | 0.5231 | 34 | 0.4806 | 0.5487 | 0.4811 |
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| No log | 0.5538 | 36 | 0.4851 | 0.5627 | 0.4856 |
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| No log | 0.5846 | 38 | 0.4781 | 0.5647 | 0.4786 |
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| No log | 0.6154 | 40 | 0.4385 | 0.5586 | 0.4390 |
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| No log | 0.6462 | 42 | 0.4008 | 0.4961 | 0.4012 |
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| No log | 0.6769 | 44 | 0.4215 | 0.4424 | 0.4219 |
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| No log | 0.7077 | 46 | 0.4247 | 0.4297 | 0.4251 |
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| No log | 0.7385 | 48 | 0.4050 | 0.4683 | 0.4054 |
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| No log | 0.7692 | 50 | 0.3963 | 0.5180 | 0.3967 |
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| No log | 0.8 | 52 | 0.4101 | 0.5579 | 0.4105 |
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| No log | 0.8308 | 54 | 0.4164 | 0.5675 | 0.4168 |
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| No log | 0.8615 | 56 | 0.4086 | 0.5617 | 0.4090 |
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| No log | 0.8923 | 58 | 0.4033 | 0.5653 | 0.4037 |
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| No log | 0.9231 | 60 | 0.4008 | 0.5653 | 0.4012 |
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| No log | 0.9538 | 62 | 0.3973 | 0.5713 | 0.3977 |
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| No log | 0.9846 | 64 | 0.3953 | 0.5713 | 0.3957 |
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### Framework versions
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- Transformers 4.42.3
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- Pytorch 2.1.2
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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config.json
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{
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"_name_or_path": "google-bert/bert-base-cased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "LABEL_0"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"LABEL_0": 0
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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": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "regression",
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"torch_dtype": "float32",
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"transformers_version": "4.42.3",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f750686d5a585e8dbf502f7b9baa9cf9f7522b0b16539a441bfb14033a846d89
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size 433267692
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runs/Aug22_09-38-15_4a91f28c1eab/events.out.tfevents.1724319507.4a91f28c1eab.34.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:d780bca46640f487aaace997a9e534dc47ca582c785247bfe137b5a6b54f293a
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size 16732
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runs/Aug22_09-43-32_4a91f28c1eab/events.out.tfevents.1724319813.4a91f28c1eab.34.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:ba6e318c2d084abab07a0ce487d4a1a40a69a47c6b752f31635fd14904a10757
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size 16732
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runs/Aug22_09-48-51_4a91f28c1eab/events.out.tfevents.1724320132.4a91f28c1eab.34.2
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version https://git-lfs.github.com/spec/v1
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oid sha256:14cf319845c27eda78d0ad082f4fb4af2b09bd98647668d789c7c6b808747f61
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size 16732
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:263a342bf0d5edaa29c754736bbc4869fbca52dd6cbfdf77060c84bac4d40026
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size 5176
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