Model save
Browse files- README.md +97 -0
- generation_config.json +6 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,97 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: mit
|
| 4 |
+
base_model: gpt2
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
model-index:
|
| 8 |
+
- name: random_transcript_conv
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# random_transcript_conv
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 3.2220
|
| 20 |
+
|
| 21 |
+
## Model description
|
| 22 |
+
|
| 23 |
+
More information needed
|
| 24 |
+
|
| 25 |
+
## Intended uses & limitations
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Training and evaluation data
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training procedure
|
| 34 |
+
|
| 35 |
+
### Training hyperparameters
|
| 36 |
+
|
| 37 |
+
The following hyperparameters were used during training:
|
| 38 |
+
- learning_rate: 0.0001
|
| 39 |
+
- train_batch_size: 32
|
| 40 |
+
- eval_batch_size: 32
|
| 41 |
+
- seed: 42
|
| 42 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 43 |
+
- lr_scheduler_type: reduce_lr_on_plateau
|
| 44 |
+
- lr_scheduler_warmup_steps: 500
|
| 45 |
+
- num_epochs: 1
|
| 46 |
+
|
| 47 |
+
### Training results
|
| 48 |
+
|
| 49 |
+
| Training Loss | Epoch | Step | Validation Loss |
|
| 50 |
+
|:-------------:|:------:|:-----:|:---------------:|
|
| 51 |
+
| 4.7264 | 0.0254 | 1000 | 4.4961 |
|
| 52 |
+
| 4.2766 | 0.0508 | 2000 | 4.2143 |
|
| 53 |
+
| 4.1231 | 0.0762 | 3000 | 4.0323 |
|
| 54 |
+
| 4.0307 | 0.1016 | 4000 | 3.9221 |
|
| 55 |
+
| 3.8887 | 0.1270 | 5000 | 3.8578 |
|
| 56 |
+
| 3.8689 | 0.1524 | 6000 | 3.7800 |
|
| 57 |
+
| 3.7808 | 0.1778 | 7000 | 3.7245 |
|
| 58 |
+
| 3.742 | 0.2032 | 8000 | 3.6854 |
|
| 59 |
+
| 3.7303 | 0.2285 | 9000 | 3.6259 |
|
| 60 |
+
| 3.5985 | 0.2539 | 10000 | 3.6000 |
|
| 61 |
+
| 3.6448 | 0.2793 | 11000 | 3.5646 |
|
| 62 |
+
| 3.6531 | 0.3047 | 12000 | 3.5310 |
|
| 63 |
+
| 3.463 | 0.3301 | 13000 | 3.5120 |
|
| 64 |
+
| 3.5609 | 0.3555 | 14000 | 3.4827 |
|
| 65 |
+
| 3.5348 | 0.3809 | 15000 | 3.4513 |
|
| 66 |
+
| 3.4552 | 0.4063 | 16000 | 3.4491 |
|
| 67 |
+
| 3.4829 | 0.4317 | 17000 | 3.4177 |
|
| 68 |
+
| 3.4333 | 0.4571 | 18000 | 3.3998 |
|
| 69 |
+
| 3.4369 | 0.4825 | 19000 | 3.3927 |
|
| 70 |
+
| 3.4465 | 0.5079 | 20000 | 3.3694 |
|
| 71 |
+
| 3.2959 | 0.5333 | 21000 | 3.3755 |
|
| 72 |
+
| 3.3914 | 0.5587 | 22000 | 3.3508 |
|
| 73 |
+
| 3.419 | 0.5841 | 23000 | 3.3296 |
|
| 74 |
+
| 3.2619 | 0.6095 | 24000 | 3.3346 |
|
| 75 |
+
| 3.3485 | 0.6349 | 25000 | 3.3173 |
|
| 76 |
+
| 3.3355 | 0.6603 | 26000 | 3.3090 |
|
| 77 |
+
| 3.3004 | 0.6856 | 27000 | 3.3027 |
|
| 78 |
+
| 3.3105 | 0.7110 | 28000 | 3.2894 |
|
| 79 |
+
| 3.2625 | 0.7364 | 29000 | 3.2808 |
|
| 80 |
+
| 3.3031 | 0.7618 | 30000 | 3.2878 |
|
| 81 |
+
| 3.3047 | 0.7872 | 31000 | 3.2691 |
|
| 82 |
+
| 3.1521 | 0.8126 | 32000 | 3.2749 |
|
| 83 |
+
| 3.2836 | 0.8380 | 33000 | 3.2561 |
|
| 84 |
+
| 3.2872 | 0.8634 | 34000 | 3.2511 |
|
| 85 |
+
| 3.1762 | 0.8888 | 35000 | 3.2519 |
|
| 86 |
+
| 3.2412 | 0.9142 | 36000 | 3.2455 |
|
| 87 |
+
| 3.2428 | 0.9396 | 37000 | 3.2323 |
|
| 88 |
+
| 3.2216 | 0.9650 | 38000 | 3.2419 |
|
| 89 |
+
| 3.2271 | 0.9904 | 39000 | 3.2220 |
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
### Framework versions
|
| 93 |
+
|
| 94 |
+
- Transformers 4.45.2
|
| 95 |
+
- Pytorch 2.4.1+cu121
|
| 96 |
+
- Datasets 3.0.1
|
| 97 |
+
- Tokenizers 0.20.1
|
generation_config.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"bos_token_id": 5,
|
| 4 |
+
"eos_token_id": 4,
|
| 5 |
+
"transformers_version": "4.45.2"
|
| 6 |
+
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 7438256
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:277af933e4fe2cc32a42826b2f879be0032c8c9955a47a31c825e42f15c87c33
|
| 3 |
size 7438256
|