End of training
Browse files- README.md +4 -3
- all_results.json +13 -0
- eval_results.json +8 -0
- train_results.json +9 -0
- trainer_state.json +2179 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
README.md
CHANGED
@@ -4,6 +4,7 @@ license: apache-2.0
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4 |
base_model: AdaptLLM/biomed-Qwen2-VL-2B-Instruct
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tags:
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- llama-factory
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- generated_from_trainer
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model-index:
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- name: qwenvl-2B-cadica-direction-scale4
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@@ -15,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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# qwenvl-2B-cadica-direction-scale4
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-
This model is a fine-tuned version of [AdaptLLM/biomed-Qwen2-VL-2B-Instruct](https://huggingface.co/AdaptLLM/biomed-Qwen2-VL-2B-Instruct) on
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It achieves the following results on the evaluation set:
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-
- Loss: 0.
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-
- Num Input Tokens Seen:
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## Model description
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base_model: AdaptLLM/biomed-Qwen2-VL-2B-Instruct
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tags:
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- llama-factory
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+
- lora
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- generated_from_trainer
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model-index:
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- name: qwenvl-2B-cadica-direction-scale4
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# qwenvl-2B-cadica-direction-scale4
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+
This model is a fine-tuned version of [AdaptLLM/biomed-Qwen2-VL-2B-Instruct](https://huggingface.co/AdaptLLM/biomed-Qwen2-VL-2B-Instruct) on the CADICA血管分支方向題scale4(TRAIN) dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.0000
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+
- Num Input Tokens Seen: 11990784
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## Model description
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25 |
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all_results.json
ADDED
@@ -0,0 +1,13 @@
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{
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"epoch": 0.6185938707185166,
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"eval_loss": 1.5566551155643538e-05,
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+
"eval_runtime": 46.6857,
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"eval_samples_per_second": 1.285,
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"eval_steps_per_second": 0.321,
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+
"num_input_tokens_seen": 11990784,
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+
"total_flos": 791107965943808.0,
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+
"train_loss": 6.11944748344618e-08,
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+
"train_runtime": 102.3684,
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+
"train_samples_per_second": 281.337,
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"train_steps_per_second": 11.722
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}
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eval_results.json
ADDED
@@ -0,0 +1,8 @@
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{
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"epoch": 0.6185938707185166,
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+
"eval_loss": 1.5566551155643538e-05,
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+
"eval_runtime": 46.6857,
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+
"eval_samples_per_second": 1.285,
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"eval_steps_per_second": 0.321,
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"num_input_tokens_seen": 11990784
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+
}
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train_results.json
ADDED
@@ -0,0 +1,9 @@
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{
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"epoch": 0.6185938707185166,
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"num_input_tokens_seen": 11990784,
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"total_flos": 791107965943808.0,
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"train_loss": 6.11944748344618e-08,
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"train_runtime": 102.3684,
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"train_samples_per_second": 281.337,
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"train_steps_per_second": 11.722
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}
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trainer_state.json
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training_loss.png
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