Training in progress, epoch 0, checkpoint
Browse files- last-checkpoint/README.md +202 -0
- last-checkpoint/adapter_config.json +34 -0
- last-checkpoint/adapter_model.safetensors +3 -0
- last-checkpoint/optimizer.pt +3 -0
- last-checkpoint/rng_state.pth +3 -0
- last-checkpoint/scheduler.pt +3 -0
- last-checkpoint/special_tokens_map.json +16 -0
- last-checkpoint/tokenizer.json +0 -0
- last-checkpoint/tokenizer_config.json +247 -0
- last-checkpoint/trainer_state.json +699 -0
- last-checkpoint/training_args.bin +3 -0
last-checkpoint/README.md
ADDED
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---
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base_model: katuni4ka/tiny-random-olmo-hf
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library_name: peft
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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[More Information Needed]
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Glossary [optional]
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<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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[More Information Needed]
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## More Information [optional]
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[More Information Needed]
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## Model Card Authors [optional]
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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### Framework versions
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- PEFT 0.13.2
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last-checkpoint/adapter_config.json
ADDED
@@ -0,0 +1,34 @@
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "katuni4ka/tiny-random-olmo-hf",
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"bias": "none",
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"fan_in_fan_out": null,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_dropout": 0.05,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 32,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"q_proj",
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"o_proj",
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"v_proj",
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"up_proj",
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"k_proj",
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"down_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"use_dora": false,
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"use_rslora": false
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}
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last-checkpoint/adapter_model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:4d28ac96260ae2a6cf65ad8641e6d48243b65401e32c33eab1742e86adbc5c92
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size 315888
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last-checkpoint/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:8a7c03caa6ec27a6f73ce237b5cf271d795b44285cb514bb52d23d14a4b8a1ca
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size 648522
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last-checkpoint/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:586828fa3e2cb15a58da7e28bb8a0982c981adafa1537bd938535b45f69a0278
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size 14244
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last-checkpoint/scheduler.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:321880767d0a20ffe7202eaf538e97cbcbb29b9663e8d5355a6dbafc2eeacd61
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size 1064
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last-checkpoint/special_tokens_map.json
ADDED
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{
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"eos_token": {
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"content": "<|endoftext|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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last-checkpoint/tokenizer.json
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The diff for this file is too large to render.
See raw diff
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last-checkpoint/tokenizer_config.json
ADDED
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": false,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"add_prefix_space": false,
|
5 |
+
"added_tokens_decoder": {
|
6 |
+
"0": {
|
7 |
+
"content": "|||IP_ADDRESS|||",
|
8 |
+
"lstrip": false,
|
9 |
+
"normalized": true,
|
10 |
+
"rstrip": false,
|
11 |
+
"single_word": false,
|
12 |
+
"special": false
|
13 |
+
},
|
14 |
+
"1": {
|
15 |
+
"content": "<|padding|>",
|
16 |
+
"lstrip": false,
|
17 |
+
"normalized": false,
|
18 |
+
"rstrip": false,
|
19 |
+
"single_word": false,
|
20 |
+
"special": true
|
21 |
+
},
|
22 |
+
"50254": {
|
23 |
+
"content": " ",
|
24 |
+
"lstrip": false,
|
25 |
+
"normalized": true,
|
26 |
+
"rstrip": false,
|
27 |
+
"single_word": false,
|
28 |
+
"special": false
|
29 |
+
},
|
30 |
+
"50255": {
|
31 |
+
"content": " ",
|
32 |
+
"lstrip": false,
|
33 |
+
"normalized": true,
|
34 |
+
"rstrip": false,
|
35 |
+
"single_word": false,
|
36 |
+
"special": false
|
37 |
+
},
|
38 |
+
"50256": {
|
39 |
+
"content": " ",
|
40 |
+
"lstrip": false,
|
41 |
+
"normalized": true,
|
42 |
+
"rstrip": false,
|
43 |
+
"single_word": false,
|
44 |
+
"special": false
|
45 |
+
},
|
46 |
+
"50257": {
|
47 |
+
"content": " ",
|
48 |
+
"lstrip": false,
|
49 |
+
"normalized": true,
|
50 |
+
"rstrip": false,
|
51 |
+
"single_word": false,
|
52 |
+
"special": false
|
53 |
+
},
|
54 |
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"50258": {
|
55 |
+
"content": " ",
|
56 |
+
"lstrip": false,
|
57 |
+
"normalized": true,
|
58 |
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"rstrip": false,
|
59 |
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"single_word": false,
|
60 |
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"special": false
|
61 |
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},
|
62 |
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"50259": {
|
63 |
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"content": " ",
|
64 |
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"lstrip": false,
|
65 |
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"normalized": true,
|
66 |
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"rstrip": false,
|
67 |
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|
68 |
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"special": false
|
69 |
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},
|
70 |
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"50260": {
|
71 |
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"content": " ",
|
72 |
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"lstrip": false,
|
73 |
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"normalized": true,
|
74 |
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|
75 |
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"single_word": false,
|
76 |
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|
77 |
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},
|
78 |
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"50261": {
|
79 |
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"content": " ",
|
80 |
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|
81 |
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"normalized": true,
|
82 |
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|
83 |
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|
84 |
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"special": false
|
85 |
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},
|
86 |
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"50262": {
|
87 |
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"content": " ",
|
88 |
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|
89 |
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90 |
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|
91 |
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|
92 |
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|
93 |
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},
|
94 |
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"50263": {
|
95 |
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|
96 |
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|
97 |
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|
98 |
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|
99 |
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|
100 |
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|
101 |
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},
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102 |
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"50264": {
|
103 |
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"content": " ",
|
104 |
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"lstrip": false,
|
105 |
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|
106 |
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|
107 |
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|
108 |
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|
109 |
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|
110 |
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"50265": {
|
111 |
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"content": " ",
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112 |
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|
113 |
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|
114 |
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|
115 |
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|
116 |
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|
117 |
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},
|
118 |
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"50266": {
|
119 |
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"content": " ",
|
120 |
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|
121 |
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|
122 |
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|
123 |
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|
124 |
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|
125 |
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},
|
126 |
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"50267": {
|
127 |
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"content": " ",
|
128 |
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|
129 |
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|
130 |
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|
131 |
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|
132 |
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"special": false
|
133 |
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},
|
134 |
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"50268": {
|
135 |
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"content": " ",
|
136 |
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"lstrip": false,
|
137 |
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|
138 |
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|
139 |
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|
140 |
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"special": false
|
141 |
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},
|
142 |
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"50269": {
|
143 |
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"content": " ",
|
144 |
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|
145 |
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|
146 |
+
"rstrip": false,
|
147 |
+
"single_word": false,
|
148 |
+
"special": false
|
149 |
+
},
|
150 |
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"50270": {
|
151 |
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"content": " ",
|
152 |
+
"lstrip": false,
|
153 |
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"normalized": true,
|
154 |
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|
155 |
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|
156 |
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"special": false
|
157 |
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},
|
158 |
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|
159 |
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"content": " ",
|
160 |
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|
161 |
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|
162 |
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|
163 |
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|
164 |
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|
165 |
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},
|
166 |
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"50272": {
|
167 |
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"content": " ",
|
168 |
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|
169 |
+
"normalized": true,
|
170 |
+
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|
171 |
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"single_word": false,
|
172 |
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"special": false
|
173 |
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},
|
174 |
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"50273": {
|
175 |
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"content": " ",
|
176 |
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|
177 |
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"normalized": true,
|
178 |
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|
179 |
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|
180 |
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|
181 |
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},
|
182 |
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"50274": {
|
183 |
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"content": " ",
|
184 |
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|
185 |
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"normalized": true,
|
186 |
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|
187 |
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|
188 |
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|
189 |
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},
|
190 |
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"50275": {
|
191 |
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"content": " ",
|
192 |
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|
193 |
+
"normalized": true,
|
194 |
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"rstrip": false,
|
195 |
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|
196 |
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"special": false
|
197 |
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},
|
198 |
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"50276": {
|
199 |
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"content": " ",
|
200 |
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"lstrip": false,
|
201 |
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"normalized": true,
|
202 |
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"rstrip": false,
|
203 |
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"single_word": false,
|
204 |
+
"special": false
|
205 |
+
},
|
206 |
+
"50277": {
|
207 |
+
"content": "|||EMAIL_ADDRESS|||",
|
208 |
+
"lstrip": false,
|
209 |
+
"normalized": true,
|
210 |
+
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|
211 |
+
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|
212 |
+
"special": false
|
213 |
+
},
|
214 |
+
"50278": {
|
215 |
+
"content": "|||PHONE_NUMBER|||",
|
216 |
+
"lstrip": false,
|
217 |
+
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|
218 |
+
"rstrip": false,
|
219 |
+
"single_word": false,
|
220 |
+
"special": false
|
221 |
+
},
|
222 |
+
"50279": {
|
223 |
+
"content": "<|endoftext|>",
|
224 |
+
"lstrip": false,
|
225 |
+
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|
226 |
+
"rstrip": false,
|
227 |
+
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|
228 |
+
"special": true
|
229 |
+
},
|
230 |
+
"50280": {
|
231 |
+
"content": "[PAD]",
|
232 |
+
"lstrip": false,
|
233 |
+
"normalized": false,
|
234 |
+
"rstrip": false,
|
235 |
+
"single_word": false,
|
236 |
+
"special": true
|
237 |
+
}
|
238 |
+
},
|
239 |
+
"bos_token": null,
|
240 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
|
241 |
+
"clean_up_tokenization_spaces": true,
|
242 |
+
"eos_token": "<|endoftext|>",
|
243 |
+
"model_max_length": 1000000000000000019884624838656,
|
244 |
+
"pad_token": "[PAD]",
|
245 |
+
"tokenizer_class": "GPTNeoXTokenizer",
|
246 |
+
"unk_token": null
|
247 |
+
}
|
last-checkpoint/trainer_state.json
ADDED
@@ -0,0 +1,699 @@
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