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Model: AIPlans/TinyLlama-1.1B-IPO-PKU-SafeRLHF Source: Original Platform
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README.md
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README.md
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---
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base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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library_name: transformers
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license: apache-2.0
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tags:
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- trl
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- dpo
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- generated_from_trainer
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model-index:
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- name: TinyLlama-1.1B-IPO-PKU-SafeRLHF
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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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# TinyLlama-1.1B-IPO-PKU-SafeRLHF
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This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-Chat-v1.0](https://huggingface.co/TinyLlama/TinyLlama-1.1B-Chat-v1.0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 18.4083
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- Rewards/chosen: -0.3421
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- Rewards/rejected: -0.4737
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- Rewards/accuracies: 0.7389
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- Rewards/margins: 0.1316
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- Logps/rejected: -6.7403
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- Logps/chosen: -5.4225
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- Logits/rejected: -2.2712
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- Logits/chosen: -2.4037
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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-06
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- train_batch_size: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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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| 24.8672 | 0.0960 | 200 | 24.8184 | -0.0031 | -0.0050 | 0.7069 | 0.0018 | -2.0534 | -2.0334 | -2.7185 | -2.8480 |
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| 24.1359 | 0.1920 | 400 | 24.2118 | -0.0132 | -0.0215 | 0.7351 | 0.0083 | -2.2183 | -2.1337 | -2.6542 | -2.7800 |
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| 22.6582 | 0.2880 | 600 | 22.9068 | -0.0523 | -0.0760 | 0.7280 | 0.0237 | -2.7638 | -2.5252 | -2.4992 | -2.6281 |
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| 21.2405 | 0.3840 | 800 | 19.5980 | -0.2860 | -0.3895 | 0.7207 | 0.1036 | -5.8987 | -4.8616 | -2.3572 | -2.4838 |
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| 16.8004 | 0.4800 | 1000 | 18.8829 | -0.3386 | -0.4676 | 0.7299 | 0.1290 | -6.6800 | -5.3883 | -2.2910 | -2.4227 |
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| 20.9951 | 0.5760 | 1200 | 18.5470 | -0.3274 | -0.4552 | 0.7343 | 0.1279 | -6.5555 | -5.2756 | -2.2822 | -2.4138 |
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| 19.3603 | 0.6719 | 1400 | 18.4526 | -0.3367 | -0.4669 | 0.7367 | 0.1303 | -6.6729 | -5.3688 | -2.2770 | -2.4091 |
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| 16.8747 | 0.7679 | 1600 | 18.4182 | -0.3410 | -0.4724 | 0.7383 | 0.1314 | -6.7270 | -5.4120 | -2.2717 | -2.4042 |
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| 20.3795 | 0.8639 | 1800 | 18.4132 | -0.3418 | -0.4733 | 0.7370 | 0.1315 | -6.7369 | -5.4201 | -2.2711 | -2.4037 |
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| 18.8851 | 0.9599 | 2000 | 18.4097 | -0.3421 | -0.4737 | 0.7381 | 0.1316 | -6.7404 | -5.4228 | -2.2713 | -2.4037 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.11.0+cu130
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 0.9997600191984641,
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"eval_logits/chosen": -2.4037210941314697,
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"eval_logits/rejected": -2.271228313446045,
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"eval_logps/chosen": -5.422507286071777,
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"eval_logps/rejected": -6.740255355834961,
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"eval_loss": 18.408336639404297,
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"eval_rewards/accuracies": 0.738882839679718,
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"eval_rewards/chosen": -0.34205058217048645,
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"eval_rewards/margins": 0.13162928819656372,
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"eval_rewards/rejected": -0.47367987036705017,
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"eval_runtime": 42.4366,
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"eval_samples_per_second": 86.906,
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"eval_steps_per_second": 21.727,
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"total_flos": 0.0,
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"train_loss": 20.556188849835113,
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"train_runtime": 1584.05,
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"train_samples_per_second": 21.044,
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"train_steps_per_second": 1.315
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}
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config.json
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{
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"_name_or_path": "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 5632,
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"max_position_embeddings": 2048,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 22,
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"num_key_value_heads": 4,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_scaling": null,
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"rope_theta": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.44.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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eval_results.json
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{
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"epoch": 0.9997600191984641,
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"eval_logits/chosen": -2.4037210941314697,
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"eval_logits/rejected": -2.271228313446045,
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"eval_logps/chosen": -5.422507286071777,
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"eval_logps/rejected": -6.740255355834961,
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"eval_loss": 18.408336639404297,
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"eval_rewards/accuracies": 0.738882839679718,
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"eval_rewards/chosen": -0.34205058217048645,
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"eval_rewards/margins": 0.13162928819656372,
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"eval_rewards/rejected": -0.47367987036705017,
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"eval_runtime": 42.4366,
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"eval_samples_per_second": 86.906,
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"eval_steps_per_second": 21.727
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}
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generation_config.json
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{
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"bos_token_id": 1,
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"eos_token_id": 2,
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"max_length": 2048,
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"pad_token_id": 0,
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"transformers_version": "4.44.2"
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}
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model.safetensors
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special_tokens_map.json
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"bos_token": {
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tokenizer.json
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tokenizer.json
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tokenizer.model
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"add_bos_token": true,
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"special": true
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}
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},
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"bos_token": "<s>",
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"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 %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": false,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"padding_side": "left",
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"sp_model_kwargs": {},
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": false
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}
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train_results.json
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{
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version https://git-lfs.github.com/spec/v1
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size 6481
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