SebastianSchramm
commited on
Commit
•
0b86ac2
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Parent(s):
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Model save
Browse files- README.md +91 -0
- all_results.json +21 -0
- config.json +31 -0
- eval_results.json +16 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model.safetensors +3 -0
- runs/Dec06_12-53-25_sebastian-dell/events.out.tfevents.1701863614.sebastian-dell.1225710.0 +3 -0
- runs/Dec06_21-56-53_sebastian-dell/events.out.tfevents.1701896222.sebastian-dell.1239776.0 +3 -0
- runs/Dec06_21-56-53_sebastian-dell/events.out.tfevents.1701945783.sebastian-dell.1239776.1 +3 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +31 -0
- train_results.json +8 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license: other
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base_model: SebastianSchramm/opt-125m-sft-full
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tags:
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- generated_from_trainer
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model-index:
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- name: opt-125m-dpo-full
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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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# opt-125m-dpo-full
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This model is a fine-tuned version of [SebastianSchramm/opt-125m-sft-full](https://huggingface.co/SebastianSchramm/opt-125m-sft-full) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6160
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- Rewards/chosen: -0.9541
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- Rewards/rejected: -2.0866
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- Rewards/accuracies: 0.6765
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- Rewards/margins: 1.1325
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- Logps/rejected: -421.7949
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- Logps/chosen: -541.3610
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- Logits/rejected: -3.0587
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- Logits/chosen: -3.1037
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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: 5e-07
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- train_batch_size: 4
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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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_ratio: 0.1
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- num_epochs: 3
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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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| 1.0169 | 0.13 | 1000 | 0.6485 | -0.0512 | -0.1732 | 0.6145 | 0.1220 | -402.6611 | -532.3322 | -3.1391 | -3.1931 |
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| 0.9048 | 0.26 | 2000 | 0.6264 | -0.5889 | -1.0870 | 0.6325 | 0.4981 | -411.7990 | -537.7092 | -3.0871 | -3.1417 |
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| 0.8198 | 0.39 | 3000 | 0.6522 | -0.8130 | -1.5553 | 0.6365 | 0.7424 | -416.4820 | -539.9495 | -2.9890 | -3.0594 |
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| 0.7973 | 0.52 | 4000 | 0.6435 | -0.7772 | -1.6280 | 0.6450 | 0.8509 | -417.2088 | -539.5912 | -3.0365 | -3.1002 |
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| 0.7659 | 0.65 | 5000 | 0.6419 | -0.8487 | -1.7568 | 0.6480 | 0.9081 | -418.4963 | -540.3063 | -3.0726 | -3.1246 |
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| 0.6425 | 0.77 | 6000 | 0.6379 | -0.9374 | -1.9026 | 0.6555 | 0.9652 | -419.9547 | -541.1942 | -3.1294 | -3.1712 |
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| 0.709 | 0.9 | 7000 | 0.6275 | -0.8907 | -1.8643 | 0.6610 | 0.9735 | -419.5712 | -540.7272 | -3.0433 | -3.0959 |
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| 0.5569 | 1.03 | 8000 | 0.6325 | -0.9352 | -1.9355 | 0.6625 | 1.0003 | -420.2840 | -541.1722 | -3.0149 | -3.0760 |
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| 0.6507 | 1.16 | 9000 | 0.6215 | -0.9145 | -1.9276 | 0.6700 | 1.0132 | -420.2049 | -540.9644 | -2.9981 | -3.0595 |
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| 0.5921 | 1.29 | 10000 | 0.6201 | -0.9696 | -2.0113 | 0.6695 | 1.0417 | -421.0416 | -541.5154 | -2.9905 | -3.0538 |
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| 0.581 | 1.42 | 11000 | 0.6231 | -0.8880 | -1.9400 | 0.6685 | 1.0521 | -420.3290 | -540.6996 | -2.9769 | -3.0403 |
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| 0.6955 | 1.55 | 12000 | 0.6200 | -0.8521 | -1.9201 | 0.6715 | 1.0680 | -420.1295 | -540.3407 | -2.9294 | -3.0003 |
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| 0.6388 | 1.68 | 13000 | 0.6221 | -0.9373 | -2.0216 | 0.6735 | 1.0843 | -421.1445 | -541.1925 | -2.9834 | -3.0472 |
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| 0.511 | 1.81 | 14000 | 0.6167 | -0.8495 | -1.9379 | 0.6715 | 1.0884 | -420.3077 | -540.3145 | -3.0078 | -3.0625 |
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| 0.5239 | 1.94 | 15000 | 0.6158 | -0.8967 | -1.9849 | 0.6775 | 1.0882 | -420.7780 | -540.7867 | -3.0404 | -3.0908 |
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| 0.5769 | 2.07 | 16000 | 0.6220 | -0.9706 | -2.0850 | 0.6695 | 1.1144 | -421.7786 | -541.5255 | -3.0230 | -3.0752 |
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| 0.407 | 2.19 | 17000 | 0.6137 | -0.9421 | -2.0587 | 0.6755 | 1.1166 | -421.5154 | -541.2402 | -3.0224 | -3.0743 |
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| 0.5732 | 2.32 | 18000 | 0.6119 | -0.8997 | -2.0121 | 0.6740 | 1.1124 | -421.0493 | -540.8169 | -3.0294 | -3.0811 |
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| 0.6627 | 2.45 | 19000 | 0.6143 | -0.9421 | -2.0649 | 0.6755 | 1.1228 | -421.5779 | -541.2407 | -3.0363 | -3.0864 |
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| 0.568 | 2.58 | 20000 | 0.6163 | -0.9679 | -2.0994 | 0.6780 | 1.1316 | -421.9230 | -541.4983 | -3.0553 | -3.1021 |
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| 0.5467 | 2.71 | 21000 | 0.6156 | -0.9578 | -2.0832 | 0.6780 | 1.1254 | -421.7610 | -541.3981 | -3.0488 | -3.0957 |
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| 0.4785 | 2.84 | 22000 | 0.6160 | -0.9527 | -2.0818 | 0.6755 | 1.1290 | -421.7462 | -541.3470 | -3.0554 | -3.1020 |
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| 0.4905 | 2.97 | 23000 | 0.6161 | -0.9537 | -2.0835 | 0.6770 | 1.1298 | -421.7638 | -541.3571 | -3.0583 | -3.1056 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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all_results.json
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{
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"epoch": 3.0,
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"eval_logits/chosen": -3.1037471294403076,
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"eval_logits/rejected": -3.058722734451294,
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"eval_logps/chosen": -541.3610229492188,
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"eval_logps/rejected": -421.7948913574219,
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"eval_loss": 0.6159699559211731,
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"eval_rewards/accuracies": 0.6765000224113464,
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"eval_rewards/chosen": -0.9541231393814087,
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"eval_rewards/margins": 1.1325011253356934,
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"eval_rewards/rejected": -2.0866243839263916,
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"eval_runtime": 348.052,
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"eval_samples": 2000,
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"eval_samples_per_second": 5.746,
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"eval_steps_per_second": 2.873,
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"train_loss": 0.6616154855680051,
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"train_runtime": 49213.1151,
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"train_samples": 61966,
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"train_samples_per_second": 3.777,
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"train_steps_per_second": 0.472
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}
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config.json
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{
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"_name_or_path": "SebastianSchramm/opt-125m-sft-full",
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"_remove_final_layer_norm": false,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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"architectures": [
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"OPTForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 2,
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"do_layer_norm_before": true,
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"dropout": 0.1,
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"enable_bias": true,
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"eos_token_id": 2,
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"ffn_dim": 3072,
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"hidden_size": 768,
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"init_std": 0.02,
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"layer_norm_elementwise_affine": true,
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"layerdrop": 0.0,
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"max_position_embeddings": 2048,
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"model_type": "opt",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"prefix": "</s>",
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"torch_dtype": "bfloat16",
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"transformers_version": "4.35.0",
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"use_cache": false,
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"vocab_size": 50272,
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"word_embed_proj_dim": 768
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}
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eval_results.json
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{
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"epoch": 3.0,
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"eval_logits/chosen": -3.1037471294403076,
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"eval_logits/rejected": -3.058722734451294,
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"eval_logps/chosen": -541.3610229492188,
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"eval_logps/rejected": -421.7948913574219,
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"eval_loss": 0.6159699559211731,
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"eval_rewards/accuracies": 0.6765000224113464,
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"eval_rewards/chosen": -0.9541231393814087,
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"eval_rewards/margins": 1.1325011253356934,
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"eval_rewards/rejected": -2.0866243839263916,
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"eval_runtime": 348.052,
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"eval_samples": 2000,
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"eval_samples_per_second": 5.746,
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"eval_steps_per_second": 2.873
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 2,
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"eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.35.0"
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}
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merges.txt
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 250501160
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runs/Dec06_12-53-25_sebastian-dell/events.out.tfevents.1701863614.sebastian-dell.1225710.0
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runs/Dec06_21-56-53_sebastian-dell/events.out.tfevents.1701896222.sebastian-dell.1239776.0
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runs/Dec06_21-56-53_sebastian-dell/events.out.tfevents.1701945783.sebastian-dell.1239776.1
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special_tokens_map.json
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{
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}
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tokenizer.json
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"1": {
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"content": "<pad>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": true,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"2": {
|
14 |
+
"content": "</s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": true,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
}
|
21 |
+
},
|
22 |
+
"bos_token": "</s>",
|
23 |
+
"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
|
24 |
+
"clean_up_tokenization_spaces": true,
|
25 |
+
"eos_token": "</s>",
|
26 |
+
"errors": "replace",
|
27 |
+
"model_max_length": 2048,
|
28 |
+
"pad_token": "<pad>",
|
29 |
+
"tokenizer_class": "GPT2Tokenizer",
|
30 |
+
"unk_token": "</s>"
|
31 |
+
}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"train_loss": 0.6616154855680051,
|
4 |
+
"train_runtime": 49213.1151,
|
5 |
+
"train_samples": 61966,
|
6 |
+
"train_samples_per_second": 3.777,
|
7 |
+
"train_steps_per_second": 0.472
|
8 |
+
}
|
trainer_state.json
ADDED
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7eeccd5620680ef140999ffeab2a884aa75b3bb95ba2b1e1fa17921f7f043410
|
3 |
+
size 5688
|
vocab.json
ADDED
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|
|