File size: 2,550 Bytes
3085ce5 d6140d9 3085ce5 d6140d9 3085ce5 d6140d9 3085ce5 d6140d9 3085ce5 d6140d9 3085ce5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 |
---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: mistralai/Mistral-7B-Instruct-v0.2
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: mistral-7b-32k-billm-finetuned-token-classification-segmentwise
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# mistral-7b-32k-billm-finetuned-token-classification-segmentwise
This model is a fine-tuned version of [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4998
- Precision: 0.0
- Recall: 0.0
- F1: 0.0
- Accuracy: 0.7829
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
| No log | 0.9784 | 34 | 0.9557 | 0.0 | 0.0 | 0.0 | 0.7596 |
| No log | 1.9856 | 69 | 0.7691 | 0.0 | 0.0 | 0.0 | 0.7707 |
| No log | 2.9928 | 104 | 0.7086 | 0.0 | 0.0 | 0.0 | 0.7794 |
| No log | 4.0 | 139 | 0.5693 | 0.0 | 0.0 | 0.0 | 0.7697 |
| No log | 4.9784 | 173 | 0.5449 | 0.0 | 0.0 | 0.0 | 0.7758 |
| No log | 5.9856 | 208 | 0.5168 | 0.0 | 0.0 | 0.0 | 0.7805 |
| No log | 6.9928 | 243 | 0.5379 | 0.0 | 0.0 | 0.0 | 0.7838 |
| No log | 8.0 | 278 | 0.5301 | 0.0 | 0.0 | 0.0 | 0.7847 |
| No log | 8.9784 | 312 | 0.5007 | 0.0 | 0.0 | 0.0 | 0.7829 |
| No log | 9.7842 | 340 | 0.4998 | 0.0 | 0.0 | 0.0 | 0.7829 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.40.1
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.19.1 |