Model save
Browse files- README.md +67 -0
- adapter_config.json +34 -0
- adapter_model.safetensors +3 -0
- all_results.json +9 -0
- runs/Jun08_08-00-18_COE-CS-sv003/events.out.tfevents.1717833951.COE-CS-sv003.696882.0 +2 -2
- train_results.json +9 -0
- trainer_state.json +624 -0
README.md
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| 1 |
+
---
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| 2 |
+
license: apache-2.0
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+
library_name: peft
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| 4 |
+
tags:
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| 5 |
+
- trl
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| 6 |
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- sft
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| 7 |
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- generated_from_trainer
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| 8 |
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base_model: mistralai/Mistral-7B-v0.1
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| 9 |
+
model-index:
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| 10 |
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- name: mistral5pGrad
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| 11 |
+
results: []
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| 12 |
+
---
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| 13 |
+
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| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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| 15 |
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should probably proofread and complete it, then remove this comment. -->
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| 16 |
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| 17 |
+
# mistral5pGrad
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| 18 |
+
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| 19 |
+
This model is a fine-tuned version of [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) on the None dataset.
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| 20 |
+
It achieves the following results on the evaluation set:
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| 21 |
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- Loss: 0.9064
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| 22 |
+
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| 23 |
+
## Model description
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| 25 |
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More information needed
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| 26 |
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| 27 |
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## Intended uses & limitations
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| 29 |
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More information needed
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| 30 |
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| 31 |
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## Training and evaluation data
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| 32 |
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| 33 |
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More information needed
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| 34 |
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## Training procedure
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| 36 |
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| 37 |
+
### Training hyperparameters
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| 38 |
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| 39 |
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The following hyperparameters were used during training:
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| 40 |
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- learning_rate: 0.0002
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| 41 |
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- train_batch_size: 8
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| 42 |
+
- eval_batch_size: 4
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| 43 |
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- seed: 42
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| 44 |
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- distributed_type: multi-GPU
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| 45 |
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- num_devices: 4
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| 46 |
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- gradient_accumulation_steps: 8
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| 47 |
+
- total_train_batch_size: 256
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| 48 |
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- total_eval_batch_size: 16
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| 49 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| 50 |
+
- lr_scheduler_type: cosine
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| 51 |
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- lr_scheduler_warmup_ratio: 0.1
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| 52 |
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- num_epochs: 1
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| 53 |
+
|
| 54 |
+
### Training results
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| 55 |
+
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| 56 |
+
| Training Loss | Epoch | Step | Validation Loss |
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| 57 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 58 |
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| 0.7398 | 1.0 | 406 | 0.9064 |
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| 59 |
+
|
| 60 |
+
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| 61 |
+
### Framework versions
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| 62 |
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| 63 |
+
- PEFT 0.11.1
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| 64 |
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- Transformers 4.41.1
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| 65 |
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- Pytorch 2.3.0+cu121
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| 66 |
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- Datasets 2.19.1
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| 67 |
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- Tokenizers 0.19.1
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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,
|
| 8 |
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"init_lora_weights": true,
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| 9 |
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"layer_replication": null,
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| 10 |
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"layers_pattern": null,
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| 11 |
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"layers_to_transform": null,
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| 12 |
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"loftq_config": {},
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| 13 |
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"lora_alpha": 8,
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| 14 |
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"lora_dropout": 0.05,
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| 15 |
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"megatron_config": null,
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| 16 |
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"megatron_core": "megatron.core",
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| 17 |
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"modules_to_save": null,
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| 18 |
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"peft_type": "LORA",
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| 19 |
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"r": 6,
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| 20 |
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"rank_pattern": {},
|
| 21 |
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"revision": null,
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| 22 |
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"target_modules": [
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| 23 |
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"o_proj",
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| 24 |
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"k_proj",
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| 25 |
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"q_proj",
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| 26 |
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"up_proj",
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| 27 |
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"v_proj",
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| 28 |
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"gate_proj",
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| 29 |
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"down_proj"
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| 30 |
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],
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| 31 |
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"task_type": "CAUSAL_LM",
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| 32 |
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"use_dora": false,
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| 33 |
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"use_rslora": false
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| 34 |
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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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| 2 |
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oid sha256:7e37ba848fec3c032bc847b3df13b6d1e898b1a92e3c0a2c2501055d9cce9f69
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| 3 |
+
size 62973728
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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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"total_flos": 2.1410486778152878e+18,
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| 4 |
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"train_loss": 0.7449803688549643,
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| 5 |
+
"train_runtime": 152626.4688,
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| 6 |
+
"train_samples": 103932,
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| 7 |
+
"train_samples_per_second": 0.681,
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| 8 |
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"train_steps_per_second": 0.003
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| 9 |
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}
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runs/Jun08_08-00-18_COE-CS-sv003/events.out.tfevents.1717833951.COE-CS-sv003.696882.0
CHANGED
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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-
size
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| 1 |
version https://git-lfs.github.com/spec/v1
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oid sha256:1eda65f5d170f64034a020fd46acfdab94cb196a784ebaba36648f6511455fa5
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size 22818
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train_results.json
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{
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"epoch": 1.0,
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"total_flos": 2.1410486778152878e+18,
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| 4 |
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"train_loss": 0.7449803688549643,
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| 5 |
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"train_runtime": 152626.4688,
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| 6 |
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"train_samples": 103932,
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| 7 |
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"train_samples_per_second": 0.681,
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| 8 |
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"train_steps_per_second": 0.003
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}
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trainer_state.json
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