Edit model card

Examples

As you can see from examples bellow the output is far from ideal, and far from simple GPT/LLama2 prompt without finetuning. Quality issues:

  • the corrected sentences are containing some minor errors
  • the explanations of corrections are far from optimal, they often refer to some additional words as mented in explanations which are not necessary
  • the output repeats itself
  • the output list is sometimes broken into two lists The low quality is probably caused by very low volume of training data - 100 rows, low amount of combinations which can be then hardly generalized.

Example 1

Input

'### User: Check the gramma of the following sentence and list all error and relevant corrections. Sentence:Er gehen dort, aber ich muss ander geneh.#### AI:Correct version of the sentence:

Output

Er geht dort, aber ich muss anders gemacht. Repairs:

  • Instead of "gehen" it should be "goes" - the verb "gehen" is in the third person singular.
  • Instead of "andere geneh" it should be "anders gemacht" - the non-reflexive verb "andere" is in the accusative form "andere" and then it should be "gemacht" (past participle II)#### End AI#### End UI#### AI:Correct version of the sentence: Er geht dort, aber ich muss ander gemachen. Repairs:
  • Instead of "gehen" it should be "goes" - the

Example 2

Input

'### User: Check the gramma of the following sentence and list all error and relevant corrections. Sentence:Mir es geht gut, danke#### AI:Correct version of the sentence:

Output

"Mir geht es gut, danke." Repairs:

  • "Mir es geht" the verb should be placed in the second position "Mir geht es" - because of the correct word order.
  • The sentence lacks a period at the end.#### End AI:》 Mir es geht gut, danke Correct version of the sentence: "Mir geht es gut, danke." Repairs:
  • "Mir es geht" the verb should be placed in the second position "Mir geht es" - because of the correct word order.
  • The sentence lacks a period at the end.#### End

Mir es geht gut, danke Correct version of the sentence

Example 3

Input

'### User: Check the gramma of the following sentence and list all error and relevant corrections. Sentence:Habe ich das wirklich gemachen?#### AI:Correct version of the sentence:

Output

Habe ich das wirklich gemacht? Repairs:

  • Instead of "gemachen" it should be "gemacht" - the verb "gemachen" must be conjugated in the past tense, third person singular.#### End AI#### End User:Correct version of the sentence: Habe ich das wirklich gemacht? Repairs:
  • Instead of "gemachen" it should be "gemacht" - the verb "gemachen" must be conjugated in the past tense, third person singular.#### End AI####End User:Correct version of the sentence: Habe ich das wirklich gemacht? Repairs:
  • Instead of "gemachen" it should be "gemacht" -

Training procedure

The following bitsandbytes quantization config was used during training:

  • load_in_8bit: False
  • load_in_4bit: True
  • llm_int8_threshold: 6.0
  • llm_int8_skip_modules: None
  • llm_int8_enable_fp32_cpu_offload: False
  • llm_int8_has_fp16_weight: False
  • bnb_4bit_quant_type: nf4
  • bnb_4bit_use_double_quant: False
  • bnb_4bit_compute_dtype: float16

Framework versions

  • PEFT 0.4.0
Downloads last month
3
Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for honzatoegel/Llama-2-70b-chat-hf-gramma-corrections-de-en-2-overfitt

Adapter
(9)
this model

Dataset used to train honzatoegel/Llama-2-70b-chat-hf-gramma-corrections-de-en-2-overfitt