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mistral-7b-tldrnews-headlines-lora-r8

PEFT
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mistral-7b-tldrnews-headlines-lora-r8
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---
library_name: peft
base_model: mistralai/Mistral-7B-v0.1
---

# Model Card for Model ID

Trained with [Ludwig.ai](https://ludwig.ai) and [Prdibase](https://predibase.com)!

Given a passage from a news report generates a headline.

Trained on: https://huggingface.co/datasets/JulesBelveze/tldr_news



## Model Details

### Model Description

Ludwig config (v0.9.3):

```yaml
model_type: llm
input_features:
  - name: prompt
    type: text
    preprocessing:
      max_sequence_length: null
    column: prompt
output_features:
  - name: headline
    type: text
    preprocessing:
      max_sequence_length: null
    column: headline
prompt:
  template: >-
    The following passage is content from a news report. Please summarize this
    passage in one sentence or less.


    Passage: {content}


    Summary: 
preprocessing:
  split:
    type: fixed
    column: split
  global_max_sequence_length: 2048
adapter:
  type: lora
generation:
  max_new_tokens: 64
trainer:
  type: finetune
  epochs: 3
  optimizer:
    type: paged_adam
  batch_size: 1
  eval_steps: 100
  learning_rate: 0.0002
  eval_batch_size: 2
  steps_per_checkpoint: 1000
  learning_rate_scheduler:
    decay: cosine
    warmup_fraction: 0.03
  gradient_accumulation_steps: 16
  enable_gradient_checkpointing: true
base_model: mistralai/Mistral-7B-v0.1
quantization:
  bits: 4
```