hugodk-sch
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Commit
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Training in progress, step 700
Browse files- README.md +18 -30
- adapter_config.json +3 -3
- adapter_model.safetensors +1 -1
- all_results.json +15 -15
- config.json +1 -3
- eval_results.json +11 -11
- train_results.json +5 -5
- trainer_state.json +0 -0
- training_args.bin +1 -1
README.md
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@@ -20,15 +20,15 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [data/ap-gpt-j-6b-sft-qlora-04-08](https://huggingface.co/data/ap-gpt-j-6b-sft-qlora-04-08) on the hugodk-sch/aftonposten_title_prefs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Rewards/chosen: -0.
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- Rewards/rejected: -0.
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- Rewards/accuracies: 0.
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- Rewards/margins: 0.
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- Logps/rejected: -
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- Logps/chosen: -34.
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- Logits/rejected: -2.
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- Logits/chosen: -2.
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs:
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### Training results
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| Training Loss | Epoch | Step |
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| 0.6314 | 1.04 | 400 | 0.9659 | -0.0660 | -0.1001 | 0.5332 | 0.0341 | -37.8504 | -34.2547 | -2.1806 | -2.1854 |
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| 0.5138 | 1.3 | 500 | 0.9765 | -0.1494 | -0.1726 | 0.5361 | 0.0232 | -38.0921 | -34.5325 | -2.1597 | -2.1645 |
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| 0.5152 | 1.56 | 600 | 0.9496 | -0.1240 | -0.1747 | 0.5885 | 0.0507 | -38.0989 | -34.4478 | -2.1318 | -2.1366 |
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| 0.4499 | 1.82 | 700 | 0.9377 | -0.1391 | -0.2015 | 0.5772 | 0.0624 | -38.1884 | -34.4983 | -2.1135 | -2.1182 |
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| 0.2662 | 2.08 | 800 | 0.9329 | -0.1699 | -0.2385 | 0.5743 | 0.0686 | -38.3115 | -34.6008 | -2.1005 | -2.1052 |
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| 0.2981 | 2.34 | 900 | 0.9285 | -0.1677 | -0.2406 | 0.5540 | 0.0729 | -38.3186 | -34.5936 | -2.0936 | -2.0983 |
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| 0.3625 | 2.6 | 1000 | 0.9330 | -0.1841 | -0.2532 | 0.5976 | 0.0691 | -38.3607 | -34.6484 | -2.0933 | -2.0980 |
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| 0.2579 | 2.86 | 1100 | 0.9269 | -0.1781 | -0.2519 | 0.5831 | 0.0738 | -38.3564 | -34.6283 | -2.0935 | -2.0982 |
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| 0.343 | 3.12 | 1200 | 0.9258 | -0.1724 | -0.2484 | 0.5772 | 0.0760 | -38.3445 | -34.6093 | -2.0923 | -2.0970 |
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| 0.23 | 3.38 | 1300 | 0.9245 | -0.1715 | -0.2485 | 0.5831 | 0.0770 | -38.3449 | -34.6061 | -2.0920 | -2.0967 |
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| 0.1873 | 3.64 | 1400 | 0.9230 | -0.1736 | -0.2514 | 0.5835 | 0.0779 | -38.3547 | -34.6131 | -2.0920 | -2.0967 |
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| 0.3099 | 3.9 | 1500 | 0.9251 | -0.1713 | -0.2480 | 0.5772 | 0.0767 | -38.3433 | -34.6056 | -2.0925 | -2.0972 |
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### Framework versions
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- PEFT 0.
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- Transformers 4.
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- Pytorch 2.1.2+cu121
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- Datasets 2.
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- Tokenizers 0.15.1
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This model is a fine-tuned version of [data/ap-gpt-j-6b-sft-qlora-04-08](https://huggingface.co/data/ap-gpt-j-6b-sft-qlora-04-08) on the hugodk-sch/aftonposten_title_prefs dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9479
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- Rewards/chosen: -0.0348
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- Rewards/rejected: -0.0895
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- Rewards/accuracies: 0.5419
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- Rewards/margins: 0.0548
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- Logps/rejected: -37.6161
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- Logps/chosen: -34.0732
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- Logits/rejected: -2.2190
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- Logits/chosen: -2.2239
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
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| 0.8913 | 0.26 | 100 | 0.9845 | -0.0055 | -0.0215 | 0.5195 | 0.0159 | -37.5405 | -34.0407 | -2.2273 | -2.2322 |
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| 0.7293 | 0.52 | 200 | 0.9602 | -0.0172 | -0.0580 | 0.5714 | 0.0408 | -37.5811 | -34.0537 | -2.2238 | -2.2286 |
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| 0.6144 | 0.78 | 300 | 0.9713 | -0.0468 | -0.0779 | 0.5282 | 0.0310 | -37.6032 | -34.0866 | -2.2201 | -2.2249 |
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### Framework versions
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- PEFT 0.8.2
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- Transformers 4.37.2
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- Pytorch 2.1.2+cu121
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- Datasets 2.17.0
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- Tokenizers 0.15.1
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adapter_config.json
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"q_proj",
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"k_proj",
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"o_proj",
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"down_proj",
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"gate_proj"
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"v_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"up_proj",
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"k_proj",
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"o_proj",
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"v_proj",
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"down_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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adapter_model.safetensors
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all_results.json
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{
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"epoch":
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"eval_logits/chosen": -2.
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"eval_logits/rejected": -2.
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"eval_logps/chosen": -34.
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"eval_logps/rejected": -
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"eval_loss": 0.
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"eval_rewards/accuracies": 0.
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"eval_rewards/chosen": -0.
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"eval_rewards/margins": 0.
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"eval_rewards/rejected": -0.
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"eval_runtime": 145.
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"eval_samples": 343,
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"eval_samples_per_second": 2.354,
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"eval_steps_per_second": 0.295,
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"train_loss": 0.
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"train_runtime":
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"train_samples": 3079,
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"train_samples_per_second":
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"train_steps_per_second": 0.
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"eval_rewards/accuracies": 0.5419435501098633,
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"eval_rewards/chosen": -0.0347554087638855,
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"eval_runtime": 145.6786,
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"eval_samples_per_second": 2.354,
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"eval_steps_per_second": 0.295,
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"train_loss": 0.8125879040012112,
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"train_samples": 3079,
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"train_samples_per_second": 0.948,
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"train_steps_per_second": 0.118
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}
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config.json
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"n_layer": 28,
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"n_positions": 2048,
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"quantization_config": {
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"_load_in_4bit": true,
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"_load_in_8bit": false,
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"bnb_4bit_compute_dtype": "float16",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": false,
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},
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"tie_word_embeddings": false,
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"tokenizer_class": "GPT2Tokenizer",
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"transformers_version": "4.
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"use_cache": true,
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"vocab_size": 50400
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}
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"n_layer": 28,
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"n_positions": 2048,
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"quantization_config": {
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"bnb_4bit_compute_dtype": "float16",
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"bnb_4bit_quant_type": "nf4",
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"bnb_4bit_use_double_quant": false,
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"tie_word_embeddings": false,
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"tokenizer_class": "GPT2Tokenizer",
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"transformers_version": "4.37.2",
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"use_cache": true,
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"vocab_size": 50400
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}
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eval_results.json
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{
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"eval_steps_per_second": 0.295
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train_results.json
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{
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"epoch":
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"train_loss": 0.
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"train_runtime":
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{
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"epoch": 1.0,
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trainer_state.json
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training_args.bin
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