update model card README.md
Browse files
README.md
CHANGED
|
@@ -5,7 +5,6 @@ tags:
|
|
| 5 |
model-index:
|
| 6 |
- name: llama-guanaco-7b-ingbetic
|
| 7 |
results: []
|
| 8 |
-
library_name: peft
|
| 9 |
---
|
| 10 |
|
| 11 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
@@ -15,12 +14,12 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 15 |
|
| 16 |
This model is a fine-tuned version of [decapoda-research/llama-7b-hf](https://huggingface.co/decapoda-research/llama-7b-hf) on the None dataset.
|
| 17 |
It achieves the following results on the evaluation set:
|
| 18 |
-
- eval_loss: 1.
|
| 19 |
-
- eval_runtime: 65.
|
| 20 |
-
- eval_samples_per_second: 27.
|
| 21 |
-
- eval_steps_per_second: 3.
|
| 22 |
- epoch: 0.12
|
| 23 |
-
- step:
|
| 24 |
|
| 25 |
## Model description
|
| 26 |
|
|
@@ -43,8 +42,8 @@ The following hyperparameters were used during training:
|
|
| 43 |
- train_batch_size: 4
|
| 44 |
- eval_batch_size: 8
|
| 45 |
- seed: 42
|
| 46 |
-
- gradient_accumulation_steps:
|
| 47 |
-
- total_train_batch_size:
|
| 48 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 49 |
- lr_scheduler_type: linear
|
| 50 |
- lr_scheduler_warmup_steps: 2
|
|
|
|
| 5 |
model-index:
|
| 6 |
- name: llama-guanaco-7b-ingbetic
|
| 7 |
results: []
|
|
|
|
| 8 |
---
|
| 9 |
|
| 10 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
|
| 14 |
|
| 15 |
This model is a fine-tuned version of [decapoda-research/llama-7b-hf](https://huggingface.co/decapoda-research/llama-7b-hf) on the None dataset.
|
| 16 |
It achieves the following results on the evaluation set:
|
| 17 |
+
- eval_loss: 1.0322
|
| 18 |
+
- eval_runtime: 65.492
|
| 19 |
+
- eval_samples_per_second: 27.973
|
| 20 |
+
- eval_steps_per_second: 3.497
|
| 21 |
- epoch: 0.12
|
| 22 |
+
- step: 80
|
| 23 |
|
| 24 |
## Model description
|
| 25 |
|
|
|
|
| 42 |
- train_batch_size: 4
|
| 43 |
- eval_batch_size: 8
|
| 44 |
- seed: 42
|
| 45 |
+
- gradient_accumulation_steps: 8
|
| 46 |
+
- total_train_batch_size: 32
|
| 47 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 48 |
- lr_scheduler_type: linear
|
| 49 |
- lr_scheduler_warmup_steps: 2
|