Upload 15 files
Browse files- README.md +52 -3
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +40 -0
- all_results.json +14 -0
- config.json +30 -0
- eval_results.json +8 -0
- merges.txt +0 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer_config.json +326 -0
- train_results.json +9 -0
- trainer_state.json +1438 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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license:
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---
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license: mit
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library_name: peft
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tags:
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- alignment-handbook
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- generated_from_trainer
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base_model: microsoft/phi-1_5
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datasets:
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- HuggingFaceH4/ultrachat_200k
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model-index:
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- name: zephyr-phi-1_5-sft-qlora
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results: []
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---
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**Note**: This model card has been generated automatically according to the information the Trainer had access to.
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Visit the [model card](https://ritvik19.github.io/zephyr-mini/) to see the full description.
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# zephyr-phi-1_5-sft-qlora
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This model is a fine-tuned version of [microsoft/phi-1_5](https://huggingface.co/microsoft/phi-1_5) on the HuggingFaceH4/ultrachat_200k dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.3434
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 1
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- eval_batch_size: 1
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- seed: 42
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- distributed_type: multi-GPU
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- gradient_accumulation_steps: 128
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- total_train_batch_size: 128
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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 |
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|:-------------:|:------:|:----:|:---------------:|
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| 1.3423 | 0.9998 | 999 | 1.3434 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.40.1
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- Pytorch 2.1.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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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": "microsoft/phi-1_5",
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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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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 16,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"k_proj",
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"v_proj",
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"o_proj",
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"up_proj",
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"q_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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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:47acc619d6bf0cda08002d92dc906b4a593ede4291b29f8b836ba832c01081d7
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size 9456424
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added_tokens.json
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}
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all_results.json
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{
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"epoch": 0.99981234753237,
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"eval_loss": 1.343445897102356,
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"eval_runtime": 1996.3113,
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"eval_samples": 23109,
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"eval_samples_per_second": 7.089,
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"eval_steps_per_second": 7.089,
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"total_flos": 2.0711686751461048e+18,
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"train_loss": 0.052138939037456644,
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"train_runtime": 4093.6241,
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"train_samples": 207864,
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"train_samples_per_second": 31.243,
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"train_steps_per_second": 0.244
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}
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config.json
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{
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"_name_or_path": "microsoft/phi-1_5",
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"architectures": [
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"PhiForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": null,
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"embd_pdrop": 0.0,
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"eos_token_id": null,
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"hidden_act": "gelu_new",
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"hidden_size": 2048,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"layer_norm_eps": 1e-05,
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"max_position_embeddings": 2048,
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"model_type": "phi",
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"num_attention_heads": 32,
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"num_hidden_layers": 24,
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"num_key_value_heads": 32,
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"partial_rotary_factor": 0.5,
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"qk_layernorm": false,
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"resid_pdrop": 0.0,
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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": "4.40.1",
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"use_cache": true,
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"vocab_size": 51200
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}
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eval_results.json
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{
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"epoch": 0.99981234753237,
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"eval_loss": 1.343445897102356,
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"eval_runtime": 1996.3113,
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"eval_samples": 23109,
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"eval_samples_per_second": 7.089,
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"eval_steps_per_second": 7.089
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}
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merges.txt
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|endoftext|>",
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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": "<|endoftext|>",
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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": "<|endoftext|>",
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"unk_token": {
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"content": "<|endoftext|>",
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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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tokenizer_config.json
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
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| 10 |
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|
| 11 |
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| 12 |
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|
| 13 |
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|
| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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|
| 21 |
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|
| 24 |
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| 26 |
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|
| 27 |
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| 28 |
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|
| 29 |
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| 30 |
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| 31 |
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| 32 |
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|
| 33 |
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| 34 |
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|
| 35 |
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| 36 |
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|
| 37 |
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| 42 |
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| 44 |
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| 53 |
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| 58 |
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| 60 |
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| 61 |
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| 63 |
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| 64 |
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| 66 |
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| 67 |
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| 68 |
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|
| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 74 |
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| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 80 |
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| 82 |
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| 83 |
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| 84 |
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|
| 85 |
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| 86 |
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| 88 |
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| 89 |
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| 90 |
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| 91 |
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| 92 |
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|
| 93 |
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| 94 |
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| 95 |
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| 96 |
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| 97 |
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| 98 |
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| 99 |
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| 100 |
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|
| 101 |
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| 102 |
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| 106 |
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| 110 |
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|
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| 141 |
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|
| 149 |
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| 172 |
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|
| 197 |
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| 199 |
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| 202 |
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| 203 |
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| 204 |
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|
| 205 |
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| 206 |
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|
| 211 |
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| 212 |
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|
| 213 |
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| 214 |
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| 215 |
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| 250 |
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|
| 251 |
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| 252 |
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| 253 |
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| 254 |
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| 255 |
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| 256 |
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|
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| 258 |
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| 259 |
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| 260 |
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| 261 |
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| 262 |
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| 263 |
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| 264 |
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| 266 |
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|
| 267 |
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| 268 |
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|
| 269 |
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|
| 270 |
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|
| 271 |
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|
| 272 |
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|
| 273 |
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|
| 274 |
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|
| 275 |
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|
| 276 |
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|
| 277 |
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|
| 278 |
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|
| 279 |
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|
| 280 |
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|
| 281 |
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| 282 |
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| 283 |
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| 284 |
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|
| 285 |
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|
| 286 |
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|
| 287 |
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|
| 288 |
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|
| 289 |
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|
| 290 |
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|
| 291 |
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|
| 292 |
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|
| 293 |
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|
| 294 |
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|
| 295 |
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|
| 296 |
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|
| 297 |
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|
| 298 |
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|
| 299 |
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|
| 300 |
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"50293": {
|
| 301 |
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|
| 302 |
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|
| 303 |
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|
| 304 |
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|
| 305 |
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|
| 306 |
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|
| 307 |
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},
|
| 308 |
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"50294": {
|
| 309 |
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|
| 310 |
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|
| 311 |
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|
| 312 |
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|
| 313 |
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|
| 314 |
+
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|
| 315 |
+
}
|
| 316 |
+
},
|
| 317 |
+
"bos_token": "<|endoftext|>",
|
| 318 |
+
"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 %}",
|
| 319 |
+
"clean_up_tokenization_spaces": true,
|
| 320 |
+
"eos_token": "<|endoftext|>",
|
| 321 |
+
"model_max_length": 2048,
|
| 322 |
+
"pad_token": "<|endoftext|>",
|
| 323 |
+
"return_token_type_ids": false,
|
| 324 |
+
"tokenizer_class": "CodeGenTokenizer",
|
| 325 |
+
"unk_token": "<|endoftext|>"
|
| 326 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 0.99981234753237,
|
| 3 |
+
"total_flos": 2.0711686751461048e+18,
|
| 4 |
+
"train_loss": 0.052138939037456644,
|
| 5 |
+
"train_runtime": 4093.6241,
|
| 6 |
+
"train_samples": 207864,
|
| 7 |
+
"train_samples_per_second": 31.243,
|
| 8 |
+
"train_steps_per_second": 0.244
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1438 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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