Model save
Browse files- README.md +66 -0
- adapter_config.json +31 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +3 -0
- all_results.json +13 -0
- eval_results.json +8 -0
- mm_projector.bin +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +51 -0
- train_results.json +8 -0
- trainer_state.json +1346 -0
- training_args.bin +3 -0
README.md
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---
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license: apache-2.0
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: mistralai/Mistral-7B-v0.1
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datasets:
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- generator
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model-index:
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- name: My_script_50pct_LLM_pretraining
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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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# My_script_50pct_LLM_pretraining
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This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the generator dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9493
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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: 0.0002
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- train_batch_size: 32
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size: 64
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- total_eval_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 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 0.9501 | 1.0 | 1089 | 0.9493 |
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### Framework versions
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- PEFT 0.7.1
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- Transformers 4.36.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.15.2
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adapter_config.json
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{
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| 2 |
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"alpha_pattern": {},
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| 3 |
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"auto_mapping": null,
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| 4 |
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"base_model_name_or_path": "mistralai/Mistral-7B-v0.1",
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| 5 |
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"bias": "none",
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| 6 |
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"fan_in_fan_out": false,
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| 7 |
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"inference_mode": true,
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| 8 |
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"init_lora_weights": true,
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| 9 |
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"layers_pattern": null,
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| 10 |
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"layers_to_transform": null,
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| 11 |
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"loftq_config": {},
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| 12 |
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"lora_alpha": 16,
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| 13 |
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"lora_dropout": 0.05,
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| 14 |
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"megatron_config": null,
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| 15 |
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"megatron_core": "megatron.core",
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| 16 |
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"modules_to_save": null,
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| 17 |
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"peft_type": "LORA",
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| 18 |
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"r": 16,
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| 19 |
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"rank_pattern": {},
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| 20 |
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"revision": null,
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| 21 |
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"target_modules": [
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| 22 |
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"k_proj",
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| 23 |
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"up_proj",
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| 24 |
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"gate_proj",
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| 25 |
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"q_proj",
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| 26 |
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"down_proj",
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| 27 |
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"o_proj",
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| 28 |
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"v_proj"
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| 29 |
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],
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| 30 |
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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 sha256:1aa4a98346794d3310084a444754542b5c68121c9cda9f0d0a664921940bdebe
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size 83946192
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added_tokens.json
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{
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"<EMBEDDING>": 32000
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}
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all_results.json
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{
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| 2 |
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"epoch": 1.0,
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| 3 |
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"eval_loss": 0.9492883682250977,
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| 4 |
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"eval_runtime": 476.4158,
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| 5 |
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"eval_samples": 7690,
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| 6 |
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"eval_samples_per_second": 16.141,
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| 7 |
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"eval_steps_per_second": 1.01,
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| 8 |
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"train_loss": 0.9597073847049962,
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| 9 |
+
"train_runtime": 15464.7646,
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| 10 |
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"train_samples": 69655,
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| 11 |
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"train_samples_per_second": 4.504,
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| 12 |
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"train_steps_per_second": 0.07
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}
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eval_results.json
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{
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"epoch": 1.0,
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| 3 |
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"eval_loss": 0.9492883682250977,
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| 4 |
+
"eval_runtime": 476.4158,
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| 5 |
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"eval_samples": 7690,
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| 6 |
+
"eval_samples_per_second": 16.141,
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| 7 |
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"eval_steps_per_second": 1.01
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}
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mm_projector.bin
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:45b9a8fa1054e5d16c0a47352800b7953c51d48a0adb004c95f427c7e37f6481
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| 3 |
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size 16795126
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special_tokens_map.json
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{
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| 2 |
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"bos_token": {
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| 3 |
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"content": "<s>",
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| 4 |
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"lstrip": false,
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| 5 |
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"normalized": false,
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| 6 |
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"rstrip": false,
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| 7 |
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"single_word": false
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| 8 |
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},
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| 9 |
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"eos_token": {
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| 10 |
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"content": "</s>",
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| 11 |
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"lstrip": false,
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| 12 |
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"normalized": false,
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| 13 |
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"rstrip": false,
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| 14 |
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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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| 20 |
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"normalized": false,
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| 21 |
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"rstrip": false,
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| 22 |
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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.model
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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| 3 |
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size 493443
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tokenizer_config.json
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{
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| 2 |
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"add_bos_token": true,
|
| 3 |
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"add_eos_token": false,
|
| 4 |
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"added_tokens_decoder": {
|
| 5 |
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"0": {
|
| 6 |
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"content": "<unk>",
|
| 7 |
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"lstrip": false,
|
| 8 |
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"normalized": false,
|
| 9 |
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"rstrip": false,
|
| 10 |
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"single_word": false,
|
| 11 |
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"special": true
|
| 12 |
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},
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| 13 |
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"1": {
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| 14 |
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"content": "<s>",
|
| 15 |
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"lstrip": false,
|
| 16 |
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"normalized": false,
|
| 17 |
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"rstrip": false,
|
| 18 |
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"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
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"2": {
|
| 22 |
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"content": "</s>",
|
| 23 |
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"lstrip": false,
|
| 24 |
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"normalized": false,
|
| 25 |
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"rstrip": false,
|
| 26 |
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"single_word": false,
|
| 27 |
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"special": true
|
| 28 |
+
},
|
| 29 |
+
"32000": {
|
| 30 |
+
"content": "<EMBEDDING>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
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"special": true
|
| 36 |
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}
|
| 37 |
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},
|
| 38 |
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"additional_special_tokens": [],
|
| 39 |
+
"bos_token": "<s>",
|
| 40 |
+
"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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| 41 |
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"clean_up_tokenization_spaces": false,
|
| 42 |
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"eos_token": "</s>",
|
| 43 |
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"legacy": true,
|
| 44 |
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"model_max_length": 2048,
|
| 45 |
+
"pad_token": "</s>",
|
| 46 |
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"sp_model_kwargs": {},
|
| 47 |
+
"spaces_between_special_tokens": false,
|
| 48 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 49 |
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"unk_token": "<unk>",
|
| 50 |
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"use_default_system_prompt": false
|
| 51 |
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}
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train_results.json
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{
|
| 2 |
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"epoch": 1.0,
|
| 3 |
+
"train_loss": 0.9597073847049962,
|
| 4 |
+
"train_runtime": 15464.7646,
|
| 5 |
+
"train_samples": 69655,
|
| 6 |
+
"train_samples_per_second": 4.504,
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| 7 |
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"train_steps_per_second": 0.07
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| 8 |
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}
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trainer_state.json
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training_args.bin
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