---
library_name: transformers
tags:
- unsloth
- trl
- sft
---

# Model Card for Model ID

This is a fine-tune of [Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B).

I created a dataset of "comprehensive bulleted notes with headings and terms in bold" from 25 psychology texts, using Mistral-7B-Instruct-v0.2, and one other. I cleaned up that set to be perfect, and trained with Hermes 2 Pro Mistral 7b.

## Model Details

```
```{document}```
Write comprehensive bulleted notes on the provided text.
```

## Uses

Ideally the output looks something like this:

```markdown
**Winnie's Grief Reaction**

**Therapist's Recommendations**:
- Advised grandmother and maid to:
  - **Hold Winnie** and talk to her as her mother had done
  - **Follow the mother's routines** as much as possible
  - Make **appropriate references to the mother**
- Suggested father talk to Winnie about:
  - Children thinking mothers get sick or die if they are naughty
  - This is not really the case

**Winnie's Behavior**:
- Became her usual self again, and symptoms disappeared
- **Sought out mother-substitutes**: grandmother, maid, father, sister Wendy
- **Happy and contented** as long as she was taken care of and loved

**Expressing Grief**:
- **Seven months after mother's death**, Winnie began talking about her absent mother
- Expressed **sadness, missing her mother**, asked questions about death
- **Explained by therapist**: Winnie could express grief after grandmother had expressed grief over losing her daughter

**Winnie's Remarks at Nursery School**:
- Emphasized that her **mother was dead**
- Expressed **yearning for her mother's return**
- **Sensitive to separations**, looked to sister Wendy for security
- **Apprehensive about losing other caregivers**
- **Resorted to somatic symptoms** when grandmother was away

**Therapist's Concern**:
- Winnie's **capacity to respond to stressful situations**, especially long separations
- Her **ready resort to somatic symptoms**
```


### Training Procedure

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#### Preprocessing [optional]

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#### Training Hyperparameters

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#### Speeds, Sizes, Times [optional]

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## Evaluation

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### Testing Data, Factors & Metrics

#### Testing Data

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#### Factors

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#### Metrics

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### Results

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#### Summary



## Model Examination [optional]

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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

- **Hardware Type:** [More Information Needed]
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## Technical Specifications [optional]

### Model Architecture and Objective

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### Compute Infrastructure

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#### Hardware

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#### Software

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## Citation [optional]

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## Glossary [optional]

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