selfrag zephyr-7b-sft-lora
Browse files- README.md +62 -1
- adapter_config.json +25 -0
- adapter_model.safetensors +3 -0
- all_results.json +13 -0
- config.json +37 -0
- eval_results.json +8 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +41 -0
- train_results.json +8 -0
- trainer_state.json +3994 -0
- training_args.bin +3 -0
README.md
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---
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-
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---
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---
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base_model: mrs-7b
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tags:
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- alignment-handbook
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- generated_from_trainer
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datasets:
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- gpt4_reward_with_format
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model-index:
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- name: zephyr-7b-sft-lora
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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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# zephyr-7b-sft-lora
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This model is a fine-tuned version of [mrs-7b](https://huggingface.co/mrs-7b) on the gpt4_reward_with_format dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0911
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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: 3
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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: 64
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- total_train_batch_size: 192
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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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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.1001 | 1.0 | 219 | 0.1006 |
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| 0.0969 | 2.0 | 439 | 0.0930 |
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| 0.0795 | 2.99 | 657 | 0.0911 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.1+cu121
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "mrs-7b",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layers_pattern": null,
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"layers_to_transform": null,
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"lora_alpha": 16,
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"lora_dropout": 0.1,
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_proj",
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"k_proj",
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"o_proj"
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],
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"task_type": "CAUSAL_LM"
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:331f28c831a5ddd16c304b42d71ea032cd36799231ff9b2a2bb2ebe22e5d58a8
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size 218138576
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all_results.json
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{
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"epoch": 2.99,
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"eval_loss": 0.09112608432769775,
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"eval_runtime": 1063.6125,
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"eval_samples": 4693,
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"eval_samples_per_second": 4.412,
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"eval_steps_per_second": 2.207,
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"train_loss": 0.11520915337848155,
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"train_runtime": 83607.727,
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"train_samples": 42230,
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"train_samples_per_second": 1.515,
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"train_steps_per_second": 0.008
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}
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config.json
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{
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"_name_or_path": "mrs-7b",
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"architectures": [
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"MistralForCausalLM"
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],
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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": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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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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"llm_int8_enable_fp32_cpu_offload": false,
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"llm_int8_has_fp16_weight": false,
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"llm_int8_skip_modules": null,
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"llm_int8_threshold": 6.0,
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"load_in_4bit": true,
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"load_in_8bit": false,
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"quant_method": "bitsandbytes"
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},
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.35.0",
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"use_cache": true,
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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": 2.99,
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"eval_loss": 0.09112608432769775,
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"eval_runtime": 1063.6125,
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"eval_samples": 4693,
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"eval_samples_per_second": 4.412,
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"eval_steps_per_second": 2.207
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}
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "</s>",
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"unk_token": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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tokenizer.json
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The diff for this file is too large to render.
See raw diff
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tokenizer_config.json
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{
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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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": true,
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"model_max_length": 2048,
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"pad_token": "</s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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train_results.json
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{
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"epoch": 2.99,
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"train_loss": 0.11520915337848155,
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"train_runtime": 83607.727,
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"train_samples": 42230,
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"train_samples_per_second": 1.515,
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"train_steps_per_second": 0.008
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}
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trainer_state.json
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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