End of training
Browse files- README.md +28 -48
- added_tokens.json +0 -0
- config.json +7 -7
- generation_config.json +0 -1
- model.safetensors +2 -2
- runs/Feb05_01-07-24_Lees-MacBook-Pro.local/events.out.tfevents.1738742844.Lees-MacBook-Pro.local +3 -0
- tokenizer.json +2 -2
- tokenizer_config.json +2 -2
- training_args.bin +1 -1
README.md
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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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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/thalesian-university-of-new-mexico-press/huggingface/runs/xzm8h2sw)
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# train_2
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-
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- train_batch_size:
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- eval_batch_size:
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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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- lr_scheduler_warmup_steps: 10000
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 0.3261 | 24.0 | 42288 | 1.1359 |
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| 0.3141 | 25.0 | 44050 | 1.1536 |
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| 0.3112 | 26.0 | 45812 | 1.1326 |
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| 0.3144 | 27.0 | 47574 | 1.1352 |
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| 0.3036 | 28.0 | 49336 | 1.1404 |
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| 0.3024 | 29.0 | 51098 | 1.0948 |
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| 0.2996 | 30.0 | 52860 | 1.1103 |
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| 0.3043 | 31.0 | 54622 | 1.0854 |
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| 0.2985 | 32.0 | 56384 | 1.0956 |
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| 0.3056 | 33.0 | 58146 | 1.1020 |
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| 0.2919 | 34.0 | 59908 | 1.1080 |
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| 0.2993 | 35.0 | 61670 | 1.0691 |
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| 0.2981 | 36.0 | 63432 | 1.0809 |
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| 0.2942 | 37.0 | 65194 | 1.0515 |
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| 0.2911 | 38.0 | 66956 | 1.0637 |
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| 0.296 | 39.0 | 68718 | 1.0840 |
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| 0.2945 | 40.0 | 70480 | 1.0684 |
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| 0.3031 | 41.0 | 72242 | 1.0645 |
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| 0.2903 | 42.0 | 74004 | 1.0677 |
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### Framework versions
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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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# train_2
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.1944
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-06
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- train_batch_size: 36
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- eval_batch_size: 36
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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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- lr_scheduler_warmup_steps: 10000
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- num_epochs: 200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.7988 | 1.0 | 905 | 7.8026 |
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| 1.0102 | 2.0 | 1810 | 2.3353 |
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| 0.3427 | 3.0 | 2715 | 1.2595 |
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| 0.2379 | 4.0 | 3620 | 0.8825 |
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| 0.189 | 5.0 | 4525 | 0.6379 |
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| 0.1718 | 6.0 | 5430 | 0.4706 |
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| 0.1389 | 7.0 | 6335 | 0.3872 |
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| 0.1151 | 8.0 | 7240 | 0.3151 |
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| 0.0996 | 9.0 | 8145 | 0.2532 |
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| 0.089 | 10.0 | 9050 | 0.2301 |
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| 0.0825 | 11.0 | 9955 | 0.2173 |
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| 0.0775 | 12.0 | 10860 | 0.2077 |
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| 0.0735 | 13.0 | 11765 | 0.2059 |
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| 0.0704 | 14.0 | 12670 | 0.1962 |
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| 0.0689 | 15.0 | 13575 | 0.1961 |
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| 0.0677 | 16.0 | 14480 | 0.1960 |
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| 0.0661 | 17.0 | 15385 | 0.1944 |
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| 0.066 | 18.0 | 16290 | 0.1926 |
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| 0.0643 | 19.0 | 17195 | 0.1929 |
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| 0.0639 | 20.0 | 18100 | 0.1916 |
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| 0.062 | 21.0 | 19005 | 0.1904 |
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| 0.0617 | 22.0 | 19910 | 0.1932 |
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| 0.0611 | 23.0 | 20815 | 0.1944 |
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### Framework versions
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added_tokens.json
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config.json
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{
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"_name_or_path": "/Users/lee/GitHub/results/
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"architectures": [
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"classifier_dropout": 0.0,
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"d_kv": 64,
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"dense_act_fn": "relu",
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"dropout_rate": 0.1,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers":
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"output_past": true,
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"relative_attention_max_distance": 128,
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"torch_dtype": "float32",
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"transformers_version": "4.44.0.dev0",
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"use_cache": true,
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"vocab_size":
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}
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{
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"_name_or_path": "/Users/lee/GitHub/results/GMY-T5_trans/train_1/checkpoint-12768",
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"architectures": [
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"T5ForConditionalGeneration"
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"classifier_dropout": 0.0,
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"d_ff": 3072,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dense_act_fn": "relu",
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"dropout_rate": 0.1,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 12,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"torch_dtype": "float32",
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"transformers_version": "4.44.0.dev0",
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"use_cache": true,
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"vocab_size": 33280
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}
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generation_config.json
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