Light weight sentiment analysis for financial articles
38 Pulls Updated 3 months ago
Updated 3 months ago
3 months ago
e491560d3323 · 1.5GB
model
archgemma2
·
parameters2.61B
·
quantizationQ3_K_M
1.5GB
system
Analyze the sentiment of this financial news article.
55B
params
{"num_ctx":4096,"repeat_last_n":256,"temperature":0.2}
55B
template
{{ if .System }}### Instruction:
{{ .System }}
{{ end }}
### Input:
{{ .Prompt }}
### Response:
96B
Readme
Gemma 2 2b fine tuned for sentiment analysis of financial articles, give it an article -> outputs a specific JSON format with confidence and reasoning values:
{
"reasoning": "The article reports that Qualcomm's CEO Cristiano Amon expressed concerns about the phone market recovering more slowly than expected, which led to a decline in stock value after initially rising due to strong earnings projections. The company projected flattish or single-digit percentage growth for units this year, indicating a slow recovery from a prolonged slump.",
"sentiment": -0.15,
"confidence": 0.75
}
Confidence and variance get shakier the lower down the quants, but overall similar performance.