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 +2222 -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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- Ritvik19/open-hermes-2_5-reformatted
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model-index:
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- name: openhermes-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/small-llms/) to see the full description.
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# openhermes-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 Ritvik19/open-hermes-2_5-reformatted dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.4192
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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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| 1.3662 | 0.9994 | 1559 | 1.4192 |
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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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"v_proj",
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"k_proj",
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"o_proj",
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"q_proj",
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"up_proj",
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"gate_proj",
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"down_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 sha256:7e10b68aad77bff7fd7a087790709cf46c9f1f701e63ec1134308eff7fc084fe
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size 9456424
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added_tokens.json
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all_results.json
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{
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"epoch": 0.9993739889922224,
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"eval_loss": 1.4191993474960327,
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"eval_runtime": 1934.5604,
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"total_flos": 3.232184148701479e+18,
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"train_loss": 0.016414370117774753,
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"train_runtime": 2971.8566,
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"train_samples": 1001538,
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"train_steps_per_second": 0.525
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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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"hidden_act": "gelu_new",
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"hidden_size": 2048,
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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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"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": 0.9993739889922224,
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"eval_steps_per_second": 7.315
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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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},
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"eos_token": {
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},
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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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{
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"add_prefix_space": false,
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"added_tokens_decoder": {
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train_results.json
ADDED
@@ -0,0 +1,9 @@
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{
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trainer_state.json
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@@ -0,0 +1,2222 @@
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