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Model: laion/100k_epochs3__Qwen3-8B
Source: Original Platform

README.md

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+---
+library_name: transformers
+license: other
+base_model: Qwen/Qwen3-8B
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: 100k_epochs3__Qwen3-8B
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# 100k_epochs3__Qwen3-8B
+
+This model is a fine-tuned version of [Qwen/Qwen3-8B](https://huggingface.co/Qwen/Qwen3-8B) on the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent--swesmith-sandboxes-with_tests-gpt-5-mini-passed_glm_4.7_traces/snapshots/b9b0e0d113e9c37dd035f03644315478acc04487_thinking_preprocessed, the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent--exp-uns-r2egym-16_8x_glm_4.7_traces_jupiter_cleaned/snapshots/f33c2e87626104d2406a7182a6a713bf0b337bdb_thinking_preprocessed, the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent--exp-syh-r2egym-askllm-hardened_glm_4.7_traces_jupiter/snapshots/625842bb217a7168a4b563bc70dc391100b5f483_thinking_preprocessed, the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent--exp-syh-r2egym-askllm-constrained_glm_4.7_traces_jupiter/snapshots/c6f0acf401312da7f0acba098ddc5bfc2d3abcb8_thinking_preprocessed, the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent--exp_tas_optimal_combined_traces/snapshots/ebbeebd254227e227eae6f6f3f25dd76407c5d1c_thinking_preprocessed, the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent--exp_tas_repetition_penalty_1.05_traces/snapshots/b4f5500e00651d5ffc7f8701f8a055d9b2b68a0a_thinking_preprocessed, the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent--exp_tas_max_episodes_512_traces/snapshots/236c1dc9aa6d24cf77ce281b5342d93bae685832_thinking_preprocessed, the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent--exp_tas_timeout_multiplier_8.0_traces/snapshots/cb412ce40164f838f33e77b98af549d815413346_thinking_preprocessed, the /e/data1/datasets/playground/ot/hf_hub/datasets--DCAgent--glm46-Toolscale-tasks-traces/snapshots/a8a1e7cf8edaa7730bc8ef37d9907888946e830b_thinking_preprocessed and the /e/data1/datasets/playground/ot/hf_hub/datasets--penfever--Kimi-K2T-swesmith-32ep-131k/snapshots/7e98e8f444f5bfe78b0e0a94fab0ec28d0487b6e_thinking_preprocessed datasets.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 4e-05
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 128
+- total_train_batch_size: 128
+- total_eval_batch_size: 1024
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3.0
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.57.6
+- Pytorch 2.9.1+cu130
+- Datasets 4.7.0
+- Tokenizers 0.22.2