update model card README.md
Browse files
README.md
CHANGED
|
@@ -6,7 +6,6 @@ tags:
|
|
| 6 |
model-index:
|
| 7 |
- name: opt-350m-base
|
| 8 |
results: []
|
| 9 |
-
library_name: peft
|
| 10 |
---
|
| 11 |
|
| 12 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -30,28 +29,6 @@ More information needed
|
|
| 30 |
|
| 31 |
## Training procedure
|
| 32 |
|
| 33 |
-
|
| 34 |
-
The following `bitsandbytes` quantization config was used during training:
|
| 35 |
-
- load_in_8bit: False
|
| 36 |
-
- load_in_4bit: True
|
| 37 |
-
- llm_int8_threshold: 6.0
|
| 38 |
-
- llm_int8_skip_modules: None
|
| 39 |
-
- llm_int8_enable_fp32_cpu_offload: False
|
| 40 |
-
- llm_int8_has_fp16_weight: False
|
| 41 |
-
- bnb_4bit_quant_type: nf4
|
| 42 |
-
- bnb_4bit_use_double_quant: True
|
| 43 |
-
- bnb_4bit_compute_dtype: bfloat16
|
| 44 |
-
|
| 45 |
-
The following `bitsandbytes` quantization config was used during training:
|
| 46 |
-
- load_in_8bit: False
|
| 47 |
-
- load_in_4bit: True
|
| 48 |
-
- llm_int8_threshold: 6.0
|
| 49 |
-
- llm_int8_skip_modules: None
|
| 50 |
-
- llm_int8_enable_fp32_cpu_offload: False
|
| 51 |
-
- llm_int8_has_fp16_weight: False
|
| 52 |
-
- bnb_4bit_quant_type: nf4
|
| 53 |
-
- bnb_4bit_use_double_quant: True
|
| 54 |
-
- bnb_4bit_compute_dtype: bfloat16
|
| 55 |
### Training hyperparameters
|
| 56 |
|
| 57 |
The following hyperparameters were used during training:
|
|
@@ -72,9 +49,7 @@ The following hyperparameters were used during training:
|
|
| 72 |
|
| 73 |
### Framework versions
|
| 74 |
|
| 75 |
-
-
|
| 76 |
-
- PEFT 0.5.0.dev0
|
| 77 |
-
- Transformers 4.31.0.dev0
|
| 78 |
- Pytorch 2.0.1+cu118
|
| 79 |
- Datasets 2.13.1
|
| 80 |
- Tokenizers 0.13.3
|
|
|
|
| 6 |
model-index:
|
| 7 |
- name: opt-350m-base
|
| 8 |
results: []
|
|
|
|
| 9 |
---
|
| 10 |
|
| 11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 29 |
|
| 30 |
## Training procedure
|
| 31 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 32 |
### Training hyperparameters
|
| 33 |
|
| 34 |
The following hyperparameters were used during training:
|
|
|
|
| 49 |
|
| 50 |
### Framework versions
|
| 51 |
|
| 52 |
+
- Transformers 4.32.0.dev0
|
|
|
|
|
|
|
| 53 |
- Pytorch 2.0.1+cu118
|
| 54 |
- Datasets 2.13.1
|
| 55 |
- Tokenizers 0.13.3
|