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Model: van-ng/pythia410m-XYZCompany-1000-steps Source: Original Platform
2026-07-08 05:12:10 +08:00
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+---
+license: apache-2.0
+base_model: EleutherAI/pythia-410m
+tags:
+- generated_from_trainer
+model-index:
+- name: pythia410m-XYZCompany-1000-steps
+  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. -->
+
+# pythia410m-XYZCompany-1000-steps
+
+This model is a fine-tuned version of [EleutherAI/pythia-410m](https://huggingface.co/EleutherAI/pythia-410m) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2944
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.2939        | 0.32  | 50   | 0.2774          |
+| 0.2993        | 0.63  | 100  | 0.2531          |
+| 0.2538        | 0.95  | 150  | 0.2429          |
+| 0.1829        | 1.27  | 200  | 0.2393          |
+| 0.187         | 1.59  | 250  | 0.2326          |
+| 0.1737        | 1.9   | 300  | 0.2308          |
+| 0.1195        | 2.22  | 350  | 0.2405          |
+| 0.1263        | 2.54  | 400  | 0.2392          |
+| 0.1248        | 2.86  | 450  | 0.2374          |
+| 0.069         | 3.17  | 500  | 0.2545          |
+| 0.08          | 3.49  | 550  | 0.2530          |
+| 0.0763        | 3.81  | 600  | 0.2553          |
+| 0.0532        | 4.13  | 650  | 0.2690          |
+| 0.0465        | 4.44  | 700  | 0.2727          |
+| 0.0538        | 4.76  | 750  | 0.2734          |
+| 0.037         | 5.08  | 800  | 0.2834          |
+| 0.0334        | 5.4   | 850  | 0.2859          |
+| 0.0299        | 5.71  | 900  | 0.2872          |
+| 0.0318        | 6.03  | 950  | 0.2906          |
+| 0.0256        | 6.35  | 1000 | 0.2944          |
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.1.2
+- Datasets 2.17.1
+- Tokenizers 0.13.2