Model save
Browse files- README.md +2 -4
- all_results.json +4 -4
- config.json +1 -1
- model.safetensors +1 -1
- tokenizer_config.json +0 -1
- train_results.json +4 -4
- trainer_state.json +583 -23
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -1,11 +1,9 @@
|
|
| 1 |
---
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| 2 |
base_model: Qwen/Qwen2-VL-2B-Instruct
|
| 3 |
-
datasets: datasets/id_NL_training_data_subset
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| 4 |
library_name: transformers
|
| 5 |
model_name: Qwen2-VL-2B-Instruct-SFT
|
| 6 |
tags:
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| 7 |
- generated_from_trainer
|
| 8 |
-
- R1-V
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| 9 |
- trl
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| 10 |
- sft
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| 11 |
licence: license
|
|
@@ -13,7 +11,7 @@ licence: license
|
|
| 13 |
|
| 14 |
# Model Card for Qwen2-VL-2B-Instruct-SFT
|
| 15 |
|
| 16 |
-
This model is a fine-tuned version of [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct)
|
| 17 |
It has been trained using [TRL](https://github.com/huggingface/trl).
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| 18 |
|
| 19 |
## Quick start
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|
@@ -29,7 +27,7 @@ print(output["generated_text"])
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| 29 |
|
| 30 |
## Training procedure
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| 31 |
|
| 32 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/davidmoerdijk-smart-backoffice/huggingface/runs/
|
| 33 |
|
| 34 |
|
| 35 |
This model was trained with SFT.
|
|
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|
| 1 |
---
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| 2 |
base_model: Qwen/Qwen2-VL-2B-Instruct
|
|
|
|
| 3 |
library_name: transformers
|
| 4 |
model_name: Qwen2-VL-2B-Instruct-SFT
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
|
|
|
| 7 |
- trl
|
| 8 |
- sft
|
| 9 |
licence: license
|
|
|
|
| 11 |
|
| 12 |
# Model Card for Qwen2-VL-2B-Instruct-SFT
|
| 13 |
|
| 14 |
+
This model is a fine-tuned version of [Qwen/Qwen2-VL-2B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-2B-Instruct).
|
| 15 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
|
| 17 |
## Quick start
|
|
|
|
| 27 |
|
| 28 |
## Training procedure
|
| 29 |
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| 30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/davidmoerdijk-smart-backoffice/huggingface/runs/upgtle1o)
|
| 31 |
|
| 32 |
|
| 33 |
This model was trained with SFT.
|
all_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
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| 2 |
-
"total_flos":
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| 3 |
-
"train_loss": 0.
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| 4 |
-
"train_runtime":
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| 5 |
-
"train_samples":
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| 6 |
"train_samples_per_second": 0.061,
|
| 7 |
"train_steps_per_second": 0.061
|
| 8 |
}
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| 1 |
{
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| 2 |
+
"total_flos": 2.6349158744595456e+16,
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| 3 |
+
"train_loss": 0.35062233002289483,
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| 4 |
+
"train_runtime": 5984.3116,
|
| 5 |
+
"train_samples": 368,
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| 6 |
"train_samples_per_second": 0.061,
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| 7 |
"train_steps_per_second": 0.061
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| 8 |
}
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config.json
CHANGED
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@@ -32,7 +32,7 @@
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| 32 |
"tie_word_embeddings": true,
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| 33 |
"torch_dtype": "bfloat16",
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| 34 |
"transformers_version": "4.49.0",
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| 35 |
-
"use_cache":
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| 36 |
"use_sliding_window": false,
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| 37 |
"video_token_id": 151656,
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| 38 |
"vision_config": {
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| 32 |
"tie_word_embeddings": true,
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| 33 |
"torch_dtype": "bfloat16",
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| 34 |
"transformers_version": "4.49.0",
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| 35 |
+
"use_cache": false,
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| 36 |
"use_sliding_window": false,
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| 37 |
"video_token_id": 151656,
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| 38 |
"vision_config": {
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 4418050848
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| 1 |
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:9f156ccc52a7782c764c1e608a1cedaa9dd68fb02692e8f00ea367e59881ac92
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| 3 |
size 4418050848
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tokenizer_config.json
CHANGED
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@@ -138,7 +138,6 @@
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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"padding_side": "left",
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-
"processor_class": "Qwen2VLProcessor",
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"split_special_tokens": false,
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"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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"model_max_length": 32768,
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"pad_token": "<|endoftext|>",
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"padding_side": "left",
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| 141 |
"split_special_tokens": false,
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| 142 |
"tokenizer_class": "Qwen2Tokenizer",
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"unk_token": null
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train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
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| 1 |
{
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-
"total_flos":
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-
"train_loss": 0.
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| 4 |
-
"train_runtime":
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| 5 |
-
"train_samples":
|
| 6 |
"train_samples_per_second": 0.061,
|
| 7 |
"train_steps_per_second": 0.061
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| 8 |
}
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| 1 |
{
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| 2 |
+
"total_flos": 2.6349158744595456e+16,
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| 3 |
+
"train_loss": 0.35062233002289483,
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| 4 |
+
"train_runtime": 5984.3116,
|
| 5 |
+
"train_samples": 368,
|
| 6 |
"train_samples_per_second": 0.061,
|
| 7 |
"train_steps_per_second": 0.061
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| 8 |
}
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trainer_state.json
CHANGED
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@@ -3,48 +3,608 @@
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|
| 3 |
"best_model_checkpoint": null,
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| 4 |
"epoch": 1.0,
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| 5 |
"eval_steps": 500,
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| 6 |
-
"global_step":
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| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
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| 10 |
"log_history": [
|
| 11 |
{
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| 12 |
-
"epoch": 0.
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| 13 |
-
"grad_norm":
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| 14 |
-
"learning_rate":
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| 15 |
-
"loss": 1.
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| 16 |
-
"mean_token_accuracy": 0.
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| 17 |
"step": 5
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| 18 |
},
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| 19 |
{
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| 20 |
-
"epoch": 0.
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| 21 |
-
"grad_norm": 12.
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| 22 |
-
"learning_rate":
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| 23 |
-
"loss":
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| 24 |
-
"mean_token_accuracy": 0.
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| 25 |
"step": 10
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| 26 |
},
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| 27 |
{
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| 28 |
-
"epoch": 0.
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| 29 |
-
"grad_norm":
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| 30 |
-
"learning_rate":
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| 31 |
-
"loss":
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| 32 |
-
"mean_token_accuracy": 0.
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| 33 |
"step": 15
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| 34 |
},
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